Les déeterminants des intentions de depart des femmes cadres: differents ou non de ceux de leurs collegues masculins?
Bibliographic record
Abstract
Résumé C'est un fait reconnu que les femmes cadres sont plus nombreuses que les hommes a quitter leur emploi. Une enquete aupres de 298 cadres d'entreprises quebecois (151 femmes, 147 hommes) qui en avaient exprime I'intention, avait pour objectif d'identifier les motifs propres a ceux des femmes, en les comparand a ceux des hommes. Les femmes se sont declarees aussi satisfaites de leur travail que les hommes. Comme pour eux, une mauvaise relation de travail avec le superieur immediat constitue la raison principale de I'intention de depart. Au‐dela de ces points communs, les resultats d'analyses de regression hierarchique, effectuees separement pour les deux sexes, revelent que les femmes ont des raisons qui se demarquent de celles des hommes. Elles sont liees a un niveau hierarchique peu eleve, a une estimation elevee de leur competence, a leur isolement et au peu de consideration de leur contribution a la culture organisationnelle. Les resultats sont examines a la lumiere des inegalites constatees dans la situation professionnelle des repondantes dont le salaire et le niveau hierarchique sont remarquablement inferieurs a ceux des hommes. Les implications organisationnelles de cet ensemble de raisons sont egalement analysees. Abstract It is widely known that women executives are more inclined to quit their positions than are their male counterparts. A sample of 298 Quebecois managers (151 women and 147 men) who had expressed the intention to leave their organization took part in a survey conducted to uncover the reasons behind women's decisions to quit. These reasons are compared with men's. Although the level of satisfaction with work was high for both sexes, a poor relationship with one's supervisor stands out as the main reason for turnover intentions for both sexes. Despite these similarities, results of hierarchical regressions performed separately for both sexes suggest that women have specific motives for quitting—isolation in the workplace, lack of recognition of their contribution to the culture of the organization, low position in the hierarchy of the organization, and their highly positive evaluation of their competence. Results are discussed in the light of sex differences regarding salary and position level, which were found to be significantly lower among women. The organizational implications of this pattern of reasons are also discussed.
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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 | 0.002 | 0.009 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".