Part‐time Nurses: The Effect of Work Status Congruency on Job Attitudes
Bibliographic record
Abstract
Nous avons mene´ 2 e´tudes ( N =204 et N =251) pour examiner comment la congruence de statut au travail (pre´fe´rence pour le travail a` temps partiel par opposition au travail a` temps plein) influence les attitudes vis a` vis de l’emploi et les re´actions aux changements organisationnels des infirmie`res a` temps partiel employe´es dans le cadre d’un hôpital. Les re´sultats de l’analyse discriminante ont indique´ un effet important de la congruence de statut au travail pour les deux e´chantillons. Compare´es aux infirmie`res qui ont un statut non congruent (c’est a` dire une pre´fe´rence pour le travail a` temps plein), les infirmie`res qui ont un statut au travail congruent (pre´fe´rence pour le travail a` temps partiel) e´taient plus age´es et plus satisfaites des re´compenses financie`res de leurs emplois. Inversement, les infirmie`res dont le statut au travail e´tait non congruent signalaient une plus grande satisfaction relative au travail qu’elles accomplissaient. Il n’y avait pas de diffe´rence notable quant a` la satisfaction globale de leur emploi, quant a` la recherche d’un coping de fuite et l’intention de changer d’emploi. Enfin, il y avait des diffe´rences entre les deux e´chantillons concernant l’inse´curite´ de l’emploi et l’utilisation de strate´gies visant a` controler la situation, ce qui e´tait probablement due aux changements du syste`me de sante´ relatifs au moment de ces e´tudes. We conducted two studies ( N =204 and N =251) to examine how work status congruency (preference to work part‐time versus full‐time) influences the job attitudes and reactions to organisational restructuring of part‐time nurses employed in a hospital setting. The discriminant function analysis results indicated a significant effect for work status congruency for both samples. Compared with nurses with an incongruent work status (i.e. who would have preferred to work full‐time), nurses with a congruent work status (i.e. preferred to work part‐time) were older and more satisfied with the financial rewards of their jobs. Conversely, nurses with an incongruent work status reported greater satisfaction with the kind of work they were performing. There were no significant differences for overall job satisfaction, escape coping, and turnover intention. Finally, there were differences between the samples for job insecurity and use of control‐oriented coping strategies, most likely related to changes in the health‐care system at the time of the second study.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".