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Autonomous Motivation, Controlled Motivation, and Goal Progress

2008· article· en· 451 citations· W2019928110 on OpenAlex· 10.1111/j.1467-6494.2008.00519.x

Why is this work in the frame?

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

Canadian affiliationAn author listed a Canadian institution. This is the only route the usual frame has.

Full frame distilled prediction

Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

Candidate categories
Insufficient payload (model declined to judge)
Consensus categories
none
Domain
Candidate signal: noneConsensus signal: none
Study design
Candidate signal: ObservationalConsensus signal: Observational
Genre
Candidate signal: EmpiricalConsensus signal: Empirical
Teacher disagreement score
0.009
Threshold uncertainty score
0.999
Validation status
machine_predicted_unvalidated · codex-gemma-dda1882f352a

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Opus teacher head0.040
GPT teacher head0.304
Teacher spread
0.264 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Abstract

Although the self-concordance of goals has been repeatedly shown to predict better goal progress, recent research suggests potential problems with aggregating autonomous and controlled motivations to form a summary index of self-concordance (Judge, Bono, Erez, & Locke, 2005). The purpose of the present investigation was to further examine the relations among autonomous motivation, controlled motivation, and goal progress to determine the relative importance of autonomous motivation and controlled motivation in the pursuit of personal goals. The results of three studies and a meta-analysis indicated that autonomous motivation was substantially related to goal progress whereas controlled motivation was not. Additionally, the relation of autonomous motivation to goal progress was shown to involve implementation planning. Together, the three studies highlight the importance for goal setters of having autonomous motivation and developing implementation plans, especially ones formulated in terms of approach strategies rather than avoidance strategies. The present research suggests that individuals pursuing goals should focus relatively greater attention on enhancing their autonomous motivation rather than reducing their controlled motivation.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

The record

Venue
Journal of Personality
Topic
Motivation and Self-Concept in Sports
Field
Psychology
Canadian institutions
University of OttawaMcGill University
Funders
not available
Keywords
PsychologyGoal theoryGoal pursuitGoal settingGoal orientationSelf-determination theoryIntrinsic motivationRelation (database)Social psychologyAutonomyComputer sciencePolitical science
Has abstract in OpenAlex
yes