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Organismic Integration Theory

2023· book-chapter· en· W4321607617 on OpenAlexaff
Luc G. Pelletier, Meredith Rocchi

Bibliographic record

VenueOxford University Press eBooks · 2023
Typebook-chapter
Languageen
FieldPsychology
TopicMotivation and Self-Concept in Sports
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsAmotivationInternalizationPsychologyProsocial behaviorSocial psychologySelf-determination theoryInternalism and externalismIntrinsic motivationEpistemologyPolitical science

Abstract

fetched live from OpenAlex

Abstract This chapter reviews the five propositions that constitute organismic integration theory (OIT). The five propositions address (1) the process of internalization; (2) the distinctions between intrinsic motivation, the different types of extrinsic motivation, and amotivation, and how they relate to each other; (3) the conditions that facilitate internalization of values and behaviors; (4) how behavior that is regulated through more internalized forms of regulation relates to better functioning; and (5) how internalization relates to psychological health and well-being. Also examined are aspects of the theory that have received less attention or that represent emerging trends, such as the contribution of the constructs of integrated regulation and amotivation to SDT’s model of motivation. The chapter argues that OIT provides a framework to explain how society and social contexts affect people’s motivation, as well as what people do in actively adapting to their social worlds. It also sees potential for OIT to expand from the examination of individual human functioning and wellness to understanding how people’s prosocial behaviors and willingness to contribute to others develops and how societies can support this.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.012
Threshold uncertainty score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.006
Scholarly communication0.0030.003
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0120.002

Machine scores (provisional)

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.

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

Opus teacher head0.035
GPT teacher head0.240
Teacher spread0.206 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations27
Published2023
Admission routes1
Has abstractyes

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Same venueOxford University Press eBooksSame topicMotivation and Self-Concept in SportsFrench-language works237,207