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Record W2040156611 · doi:10.3200/jrlp.143.2.133-146

Assessing Organizational Citizenship Behavior in the French Context: Evidence for the Four-Dimensional Model

2009· article· en· W2040156611 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

VenueThe Journal of Psychology · 2009
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicJob Satisfaction and Organizational Behavior
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsSportsmanshipOrganizational citizenship behaviorPsychologyCivic virtueAltruism (biology)Social psychologyContext (archaeology)Confirmatory factor analysisExploratory factor analysisCitizenshipFactor (programming language)Context effectStructural equation modelingOrganizational commitmentDevelopmental psychologyLinguisticsPsychometricsPolitical scienceStatistics

Abstract

fetched live from OpenAlex

Although researchers have extensively studied organizational citizenship behavior (OCB) in the U.S. context, OCB measurement has received relatively limited attention in other contexts, specifically in the French-language context. Using 2 samples (for Study 1, N=292; for Study 2, N=355), the author investigated OCB in a French-language context. Using an exploratory factorial analysis in Study 1, the author found a 4-factor model (altruism, civic virtue, sportsmanship, helping others). Using a confirmatory factor analysis in Study 2, the author confirmed a 4-factor model. Data provided results that show some differences and similarities between U.S. and French contexts.

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)0.002
metaresearch head score (Gemma)0.001
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 score0.430
Threshold uncertainty score0.260

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.135
GPT teacher head0.376
Teacher spread0.241 · 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