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Causality Orientations Theory

2023· book-chapter· en· W4321607370 on OpenAlexaff
Richard Koestner, Shelby L. Levine

Bibliographic record

VenueOxford University Press eBooks · 2023
Typebook-chapter
Languageen
FieldPsychology
TopicCognitive Abilities and Testing
Canadian institutionsMcGill University
Fundersnot available
KeywordsCausality (physics)PsychologyPersonalitySocial psychologyPersonality theoryOrientation (vector space)Cognitive psychologyEpistemologyPhilosophyMathematics

Abstract

fetched live from OpenAlex

Abstract This chapter reviews causality orientations theory (COT) and highlights its contributions toward understanding integrated human functioning. The chapter explores why COT has been neglected relative to the other mini-theories in SDT. Three main reasons are proposed: (1) a paradigm shift in personality psychology away from general, noncontextualized scales; (2) the emergence of new SDT mini-theories that caught researchers’ imagination; and (3) problems in how efficiently the General Causality Orientation Scales might be used in research. We suggest that interest in causality orientations could be renewed by exploring the place of COT in current models of personality. SDT researchers might use COT to explore important questions regarding development and change in personality and asking whether causality orientation will impact major life outcomes such as marriage, work, and health.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.960
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0010.000

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 head0.071
GPT teacher head0.279
Teacher spread0.208 · 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 teacher head, not a consensus.

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

Citations8
Published2023
Admission routes1
Has abstractyes

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