MétaCan
Menu
Back to cohort

The Role of Need Satisfaction as a Distinct and Basic Psychological Component of Autobiographical Memories: A Look at Well-Being

2010· article· en· W1542979101 on OpenAlex

Why this work is in the frame

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

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Personality · 2010
Typearticle
Languageen
FieldPsychology
TopicIdentity, Memory, and Therapy
Canadian institutionsUniversité de MontréalMcGill University
Fundersnot available
KeywordsAutobiographical memoryPsychologyAutonomyCompetence (human resources)PersonalityLife satisfactionCognitive psychologyDevelopmental psychologySocial psychology

Abstract

fetched live from OpenAlex

The purpose of the present research was to show that satisfaction of the psychological needs of autonomy, competence, and relatedness constitutes a basic component characterizing autobiographical memories. In Study 1, a coding scheme and a self-rating method for measuring need satisfaction in memories were developed and shown to be highly related to each other. Across 3 studies using graduate and undergraduate students (Study 1: N=244; Study 2: N=309; Study 3: N=159), need satisfaction was found to be moderately associated with well-being measures, over and above several other memory components usually assessed in research on autobiographical memories. In addition, this association between need satisfaction in autobiographical memories and well-being held, even after controlling for person-level measures, such as personality traits, self-determined orientation, or experience of need satisfaction in general in one's life, thus suggesting that autobiographical memory and semantic self-knowledge are distinct databases.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.056
Threshold uncertainty score0.991

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.012
GPT teacher head0.305
Teacher spread0.294 · 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