Multiple Dimensions of Organizational Identification and Commitment as Predictors of Turnover Intentions and Psychological Well-Being.
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.
Bibliographic record
Abstract
Meme si on reconnait que l'identification et l'engagement sont intimement lies aux aspects de l'attachement psychologique d'un employe a l'organisation, il n'y a pas d'analyse qui fait le lien entre les dimensions multiples de chaque construit. Dans la presente etude, les modeles a trois composants de l'identification et de l'engagement organisationnels ont ete etudies en tant qu'indicateurs previsionnels des intentions de depart (roulement du personnel) et du bien-etre psychologique (estime de soi, satisfaction dans la vie et autoefficacite) parmi les employes (N = 60) d'une petite organisation. Les employes tres en vue avaient tendance a etre ceux qui etaient engages, mais differentes dimensions de chaque construit ont ete liees de facon specifique a divers criteres. Les composants affectifs de l'identification et de l'engagement ont ete associes de facon negative aux intentions de depart et l'affect du groupe interne positif (soit les sentiments derives d'etre un membre de l'organisation) predisait les perceptions d'autoefficacite. L'engagement a la continuation etait distinct des autres indicateurs previsionnels. Les resultats justifient les autres efforts pour integrer les perspectives de la theorie d'identite sociale et de la psychologie organisationnelle.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.009 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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