Mechanisms: goal-setting in depth, the dark side, and a self-regulation frame (the Rubicon model)

Overview

Goal-setting in depth + an honest counterweight + a frame that links the whole chain. Basic goal-setting (concrete difficult goals → result; the costs of goal failure) is already recorded in the intention-as-a-program file (section 2, Höpfner & Keith 2021). This file deepens it with three layers:

The mechanisms of goal-setting — how exactly a difficult concrete goal raises the result: Locke and Latham's 4 channels (directing attention → mobilizing effort → persistence → activating strategies and knowledge), plus the moderators goal commitment, feedback, goal specificity, and self-efficacy as a moderator.
The dark side ("Goals Gone Wild") — an honest counterweight to a bare "set difficult goals": tunnel vision, ignoring non-target areas, unethical "shortcuts," risk distortion, reduced intrinsic motivation, harm to learning, over-commitment to a failing goal.
The action-phase frame (the Rubicon / model of action phases) — where "intention" passes into "will" and "action": the pre-decisional phase (choosing the goal) → the Rubicon → the pre-actional phase (planning) → the action phase → the post-actional phase (evaluation). This links the whole chain of the first intention file (intention → plan → goal → expectation → action → outcome) into a single scaffold.

The mechanisms are internal and behavioral (attention, effort, planning, will, evaluation) — and not external magic. Transfer to "manifestation" without mediating action is [unverified].

Three topics, each resting on a genuinely open (CC BY, verbatim confirmed) peer-reviewed source:

The mechanisms of goal-setting and self-efficacy as a moderator — Saks (2024), Frontiers in Psychology (CC BY). Locke and Latham's primary sources are NOT open access (already flagged in the intention-as-a-program file).
The dark side — Ordóñez, Schweitzer, Galinsky & Bazerman (2009), Academy of Management Perspectives. ⚠️ Both the published version (AOM) and the HBS working-paper version are NOT open access (see the detailed honesty note below).
The action-phase frame (Rubicon) — Kreibich et al. (2022), Motivation and Emotion (CC BY 4.0) + Botha (2020), Frontiers in Psychology (CC BY) as the open-access anchors; ⚠️ the named primary sources of the Rubicon model (Heckhausen & Gollwitzer 1987; Gollwitzer's chapters) are NOT open access (an honesty note below).

The strength of the evidence base is given per source. Lab, single-context, applied, and review scales give mechanism plausibility, not proof of "manifestation" at the population level.

The mechanisms of goal-setting

Citation (main open-access source): Saks, K. (2024). The effect of self-efficacy and self-set grade goals on academic outcomes. Frontiers in Psychology, 15, 1324007.

A note on honesty — Locke and Latham's primary sources are NOT open access (already documented). The canonical goal-setting references (Locke & Latham 2002, American Psychologist; Locke & Latham 2006, Current Directions in Psychological Science; the 1990 book) are paywalled, fully flagged in the honesty note §2 of the intention-as-a-program file. We don't re-derive it here. The description of the four mechanisms below is taken as Saks (2024) and the broader open-access literature paraphrase it, not read from the closed primary sources. — the exact wording of the 4 mechanisms was not read from Locke and Latham's originals (not open access).

[mechanism-evidence] The four mechanisms ("how," as paraphrased by the open-access literature). Goal-setting theory holds that a concrete difficult goal raises the result through four channels: (1) direction — goals direct attention and effort to goal-relevant actions and away from irrelevant ones; (2) energization / mobilizing effort — high goals elicit more effort than low ones; (3) persistence — demanding goals prolong effort over time; (4) activation of strategies and knowledge — goals (indirectly) lead to the arousal, search, and use of task-relevant knowledge and strategies. → This is the mechanistic underside of the intention-as-a-program file's row "a concrete difficult goal > a vague wish": a runescript-as-goal works, on this account, by narrowing attention, raising effort, sustaining it, and triggering a search for strategies — all of it internal/behavioral. — channels (1)–(4) are paraphrased via the open-access literature, not from Locke and Latham's original.
[mechanism-evidence] Self-efficacy as a moderator (measured in this open-access study). Saks (2024) found that self-efficacy strongly predicts self-set goals: the standardized path self-efficacy → expected goal grade β = 0.50; self-efficacy → minimally acceptable grade β = 0.51; and expected goal grade → course performance β = 0.51, with an indirect effect of self-efficacy on the outcome ≈ 0.25 (structural modeling, n = 160 teacher-training students, a 45% response rate). → In short: higher self-efficacy leads people to set higher goals and (through the goal) perform better; self-efficacy is the belief-side modulator of how demanding a goal a person takes on. (Related to self-efficacy: "the belief that I'll cope" sets the level of the goal.)
[mechanism-evidence] Goal commitment, feedback, specificity (moderators). Goal-setting theory specifies that the goal→result link is moderated by: (a) goal commitment — a goal drives behavior only if the person is committed to it (commitment itself is raised by self-efficacy and importance); (b) feedback — feedback about progress is needed so the person can adjust effort and strategy; without it the goal can't regulate behavior; (c) goal specificity — a concrete target gives an unambiguous standard, whereas "do your best" leaves attention diffuse. → For the knowledge base: a runescript-goal carries weight only when there is commitment, specificity, and feedback about progress; a vague, uncommitted, feedback-free "wish" lacks the very moderators that make goals work. — the moderator definitions are given by an open-access paraphrase, not from Locke and Latham's original.

Strength of evidence: Saks 2024 is a single structural-modeling study (n = 160, one teacher-training cohort, self-efficacy and grade goals both self-reported), CC BY, with clean path coefficients — but correlational/structural, not experimental (no manipulation of goal difficulty), in one context, no replication noted. It confirms the chain self-efficacy → goal level → result and paraphrases the four-mechanism-and-moderator frame, but the four mechanisms themselves are theory cited via the open-access literature, with the most direct evidence sitting in the paywalled Locke and Latham corpus (and in the already-noted Höpfner & Keith 2021 experiments). Bottom line for the knowledge base: a concrete, accepted, feedback-backed, moderately difficult goal raises the result through attention / effort / persistence / strategy, and self-efficacy sets how high a person aims — a solid mechanistic support, with the honest caveat that the canonical formulation of the four mechanisms sits in non-open-access primary sources. [unverified] — transfer from academic grade goals to "life goals set by a runescript."

The dark side (Goals Gone Wild)

Citation (the named source): Ordóñez, L. D., Schweitzer, M. E., Galinsky, A. D., & Bazerman, M. H. (2009). Goals gone wild: the systematic side effects of over-prescribing goal setting. Academy of Management Perspectives, 23(1), 6–16. the working-paper version: Harvard Business School NOM Unit Working Paper 09-083 (hbs.edu/ris/Publication Files/09-083.pdf).

⚠️ A note on honesty — BOTH versions are NOT open access (an important finding). - The published version (AOM Perspectives 23(1):6–16) is paywalled. The publisher page (journals.aom.org) returned HTTP 403; AOM Perspectives is a subscription journal, no CC license. → negative. - The HBS working paper 09-083 is a freely downloadable PDF on hbs.edu, but its own copyright notice states (verbatim): "Copyright © 2009 by Lisa D. Ordóñez, Maurice E. Schweitzer, Adam D. Galinsky, and Max H. Bazerman. Working papers are in draft form. This working paper is distributed for purposes of comment and discussion only. It may not be reproduced without permission of the copyright holder." → This is a green / author-posted draft with an explicitly restrictive license, and NOT an open-access (CC) license. → negative. We read this PDF only to paraphrase facts (no redistribution, no verbatim quotation beyond the short license line above — for honesty). → Not counted as a downloaded open-access source. This is the project's honest "counterweight" — the content is trustworthy, but not open access.

The same features that make goals work (specificity, difficulty) also make them "go off the rails." The side effects, in the authors' account:

[mechanism-evidence] Tunnel vision / a narrow focus (the core of the dark mechanism). Goals focus attention so narrowly that people miss other important aspects of the task (the authors cite Simons & Chabris's "invisible gorilla" inattentional-blindness study as the paradigm case). A concrete goal makes dimensions it doesn't specify invisible — e.g. a tenure system rewarding the number of papers bleeds out teaching, service, and research impact (Kerr's law "you get what you reward"). Staw & Boettger (1990): people told "do your best" caught both grammatical and content errors, while people with a concrete grammar or content goal caught only their target type of error. → A direct counter-argument to "make the runescript-goal as concrete as possible": over-specifying blinds you to everything outside the target.
[mechanism-evidence] Too many goals / the wrong attribute / the wrong time horizon. With several goals people fixate on the most easily measured one (quantity beats quality when both are hard; Gilliland & Landis). Short horizons (quarterly goals) push myopic behavior that cuts R&D. Goals act as ceilings, not floors ("a pause after the pellet"): a study of New York taxi drivers — drivers hit their daily income goal faster on rainy (high-demand) days and finished earlier, the opposite of the optimum. → A warning: a fixed runescript-target can become a ceiling that stops effort the moment it's formally "reached."
[mechanism-evidence] Risk-preference distortion. People driven by concrete, difficult goals choose riskier strategies and bets than those with vague or easy goals; in negotiations goals raise the number of impasses and value-destroying demands. In reality: Continental Illinois's aggressive lending goal → reckless loans → collapse; the 1996 Everest disaster as a "destructive goal pursuit" (leaders so identified with the goal of reaching the summit that they made fatal risk decisions). → A demanding goal can push the pursuer toward riskier actions, not just more diligent ones.
[mechanism-evidence] Unethical behavior / "shortcuts." Concrete difficult goals motivate cutting corners and distorting data, especially when the actual result falls just short of the goal (Schweitzer, Ordóñez & Douma 2004). Two channels: using unethical methods to reach the goal (overbilling at Sears auto centers) and false reporting of its attainment (Bausch & Lomb falsified sales; "shipping bricks"). A goal-driven culture makes ethical problems harder even to notice (Barsky). → An honest warning: a strong fixation on the target lowers the threshold for "shortcuts."
[mechanism-evidence] Reduced intrinsic motivation + the costs of goal failure. Goals (like external rewards in general) can crowd out intrinsic motivation — doing a thing for its own sake — creating a "hedonic treadmill." And missing an ambitious goal carries real psychological costs: lower satisfaction even with an objectively good result, and reduced self-efficacy after failure (which then undermines future engagement). This connects to the Höpfner & Keith 2021 result from the intention-as-a-program file (goal failure → negative affect d ≈ 0.48, then choosing an easier task): an over-harsh runescript-goal can backfire on affect and motivation if it's not reached.
[mechanism-evidence] Harm to learning + over-commitment to a failing goal. On complex / novel tasks a concrete performance goal can inhibit learning and worsen the result compared with "do your best" (the narrow focus impedes exploring better strategies); Locke and Latham themselves recommend learning goals instead of performance goals for complex tasks. And the Ford Pinto case is the emblem of over-commitment to a failing/perverse goal: managers committed to "under 2,000 lbs / under $2,000 / by 1970" skipped safety checks — then stayed committed, weighing lawsuit costs against a redesign rather than fixing the lethal fuel-tank design. → Two caveats for the knowledge base: (a) for an open-ended / learning task a rigid concrete target can harm; (b) escalation of commitment to a goal that has gone bad is a real failure mode (related to the notion of the action crisis in the Rubicon section below).

Strength of evidence: "Goals Gone Wild" is a theoretical/argumentative review (not new data), gathering prior experiments (Staw & Boettger; Schweitzer et al.; Larrick et al.; Galinsky et al.) and cases (Sears, Enron, Ford Pinto, Continental Illinois, Everest). It is deliberately one-sided (it's an explicit critique; the goal-setting proponents Locke and Latham published a rejoinder — "Has Goal Setting Gone Wild…?" AOM Perspectives 2009, also paywalled/). So treat it as an honest counterweight, not a balanced meta-analysis: it shows that concrete difficult goals have systematic, demonstrated downsides — tunnel vision, risk distortion, deception, reduced intrinsic motivation, harm to learning, escalation — but it does not quantify their overall prevalence relative to the benefit. Bottom line for the knowledge base: the advice "set a difficult concrete goal" from the intention-as-a-program file is true but not free — the same specificity/difficulty that drives the result also drives these failure modes, and a runescript practice should hold both sides. ⚠️ The source is NOT open access (both versions). [unverified] — transfer of organizational goal-setting pathologies to a solo runescript practice.

The frame: action phases (Rubicon / the model of action phases)

Open-access anchor 1: Kreibich, A., Wolf, B. M., Bettschart, M., Ghassemi, M., Herrmann, M., & Brandstätter, V. (2022). How self-awareness is connected to less experience of action crises in personal goal pursuit. Motivation and Emotion, 46(6), 825–836.

Open-access anchor 2: Botha, M. (2020). Prior entrepreneurial exposure and action of women entrepreneurs: exploring the moderation effects of entrepreneurial competencies in a developing country context. Frontiers in Psychology, 11, 922.

⚠️ A note on honesty — the Rubicon model's PRIMARY SOURCES are NOT open access. The named foundational works are paywalled or green-only: - Heckhausen, H., & Gollwitzer, P. M. (1987). Thought contents and cognitive functioning in motivational versus volitional states of mind. Motivation and Emotion, 11(2), 101–120, DOI 10.1007/BF00992338 — Springer, paywalled. (A self-posted PDF exists on the socmot site at Konstanz — a green copy, not a license.) → negative. - Gollwitzer, P. M. — Action phases and mind-sets (1990, in Higgins & Sorrentino eds., Guilford) and Changing behavior using the model of action phases (2020, in The Handbook of Behavior Change, Cambridge UP) — book chapters, paywalled (Konstanz PDFs = green). Achtziger & Gollwitzer, Motivation and volition in the course of action (2018, Springer) — paywalled. → negative. → None counted as a downloaded open-access source. The four-phase model below rests on the two CC BY articles above, which summarize and apply it; the named Rubicon citations are given only for bibliographic honesty.

The model of action phases is the frame that links the whole chain together — it defines where a wish becomes a goal-intention ("crossing the Rubicon"), where intention becomes planning/will, and where action and evaluation sit:

[mechanism-evidence] The path from wish to deed — four phases. In short: 1) I weigh whether I want it → 2) I decide and plan how → 3) I do it → 4) I evaluate how it turned out. In more detail (in an open-access paraphrase), the phases are divided by three transition points: (1) the pre-decisional / motivational phase — deliberating the desirability and feasibility of competing wishes (a weighing, "deliberative mindset"), ending when the person decides to pursue a wish — forming a goal intention; (2) the pre-actional / volitional phase — planning when/where/how to act (an implemental mindset), ending when action becomes possible; (3) the action phase — execute the plan, shield the goal from distraction; (4) the post-actional phase — evaluate the outcome against the goal (an evaluative mindset) and either disengage or re-engage. → This is an explicit scaffold for the project's chain intention → plan → goal → expectation → action → outcome.
[mechanism-evidence] "Crossing the Rubicon" = intention → will (the key transition). The metaphorical Rubicon is the formation of intention: the switch from goal-setting (motivation — weighing whether you want it) to goal-striving (will — realizing the chosen goal). Botha (2020) puts it sharply: "once individuals cross the Rubicon, the ability of intentions to explain action should disappear," and "to reach concrete action, a distinct switch from a goal… to an implementation intention… is required." → This is where the parts of the intention-as-a-program file lock together: the goal-intention is set in the pre-decisional phase; the if-then implementation intention (row 1 of that file) is the tool of the pre-actional/action phase that carries the person across the Rubicon from "wanting" to "doing." A runescript that only formulates a goal sits before the Rubicon; one that fixes an if-then plan helps the practitioner cross it.
[mechanism-evidence] The action crisis = the failure point of the post-decision phases (a link to the escalation from "Goals Gone Wild"). Kreibich et al. (2022) define an action crisis as "a decisional conflict between the further pursuit of and disengagement from a goal after the individual has already invested considerable time or other resources and prospects have worsened." Their study (CC BY 4.0) found that self-awareness is connected to fewer / less severe action crises — i.e. the ability to notice and re-deliberate helps resolve the volitional-phase conflict. → This is the self-regulatory counterpart to "over-commitment to a failing goal" (Pinto): the Rubicon model explains why escalation happens — after the Rubicon, deliberation is suppressed to protect the goal — and where the healthy exit is: the action crisis, which reopens deliberation instead of blind persistence. So the frame holds both sides: the upside (commitment shields the goal → action) and the downside (commitment can shield a bad goal → escalation).

Strength of evidence: The four-phase model itself is a well-established theoretical frame in motivation psychology, but here it rests on two applied/empirical CC BY articles (Botha 2020 — an entrepreneurship study with structural modeling using the model as a lens; Kreibich 2022 — a study of goal pursuit through action crises), not on its non-open-access primary sources (Heckhausen & Gollwitzer 1987; Gollwitzer's chapters). So we hold the model description as conveyed via secondary/applied open-access sources, noting that the named originals are paywalled. As a frame it is valuable (it organizes the whole intention→action→outcome chain and names where commitment becomes both a strength and a risk of escalation); as evidence it is structural, not a causal test that "phases produce outcomes." Bottom line for the knowledge base: the Rubicon frame is the connective tissue — it shows that a runescript is most useful at the crossing-the-Rubicon point, turning a weighed wish into an accepted, planned, if-then-triggered action. The same goal-shielding that fuels the action phase can ossify into harmful escalation absent an honest action-crisis check. [unverified] — any claim that the phases operate on external reality, rather than on the practitioner's own deliberation → will → action.

Connection to the runescript

It completes the mechanistic arc of the intention-as-a-program metaphor and adds honest caveats. It deepens, balances, and frames the existing "goal" row.

The full chain (the Rubicon scaffold): (pre-decisional phase) weigh the wish → THE RUBICON: form a goal-intention (concrete, difficult, with commitment — this file, § mechanisms) → (pre-actional phase) plan it as an if-then implementation intention (intention-as-a-program §1) + hold expectation/self-efficacy (intention-as-a-program §3) → (action phase) action, shielding the goal from distraction → (post-actional phase) evaluation by feedback → deactivation or repeat.

What this gives runescript practice (all internal/behavioral):

A runescript is most useful at the Rubicon — it turns a "weighed wish" into an accepted, concrete goal + an if-then plan, i.e. it helps cross from motivation to will/action. A bare "wish-stave" without commitment/plan/feedback stays before the Rubicon.
Self-efficacy sets the height of the goal (Saks 2024: β ≈ 0.50): the confidence "I'll cope" → higher goal → (through the goal) a higher result. This is belief→goal-level→behavior, not magic.
The dark side is a mandatory counterweight. "Set a difficult concrete goal" from intention-as-a-program is true but not free: the same specificity/difficulty gives tunnel vision, risk distortion, "shortcuts," reduced intrinsic motivation, harm to learning, escalation. For honesty: a runescript practice should hold both sides and offer a learning-goal formulation for complex/learning goals, not just a performance goal.
The action crisis = a healthy exit, not a failure of will: the ability to re-deliberate (Kreibich 2022) guards against "commitment to a failing goal" (the Pinto mode).

[unverified] — any arrows of "→ a change in external physical reality without mediating action." The central metaphor "a program of reality" is supported only as "structured intention → goal-intention → plan → the practitioner's action," and now — with an honest accounting of the costs of goal-setting.

Links

intention as a program — basic goal-setting (concrete difficult goals → result; the costs of goal failure; Höpfner & Keith 2021), implementation intentions (if-then; Wang 2021), expectation/the Pygmalion effect (Hu & Qian 2025). This file deepens it (mechanisms), balances it (the dark side), and frames it (the Rubicon).
attention, placebo, ritual / bias, prediction, self-efficacy — cognitive-expectancy mechanisms (attention, placebo, the ideomotor effect, ritual, confirmation bias, predictive processing, self-efficacy). Self-efficacy returns here as the moderator of goal height (Saks 2024).
body and state — the body-state layer; flow (challenge–skill balance, clear goals, feedback) echoes the goal-setting mechanisms and the action phase of absorbed action.