WOMEN LEADERS IN HIGH-POVERTY COMMUNITY SCHOOLS: WORK-RELATED STRESS AND FAMILY IMPACT
Bibliographic record
Abstract
This qualitative study explores the experiences of women administrators in high‐ poverty community schools, investigating four women’s perspectives on work demands and the impact on their families. Their work demands are related to the characteristics of impoverished communities, whereas their work resources are based on intrinsic rewards and social justice. Family demands and resources are related to the developmental stages of families, and therefore vary among the women inter‐ viewed. The research identifies the boundary‐spanning demands between work and home, and the resources and strategies used by these educational leaders to manage the challenges of working in high‐poverty community schools. Key words: school leadership, urban education, principals, inner‐city schools Cette étude qualitative porte sur les expériences de directrices d’école dans des milieux défavorisés. L’auteure analyse le point de vue de quatre femmes sur les exigences de leur travail et l’impact sur leurs familles. Les exigences de leur travail sont reliées aux caractéristiques des milieux pauvres tandis que leurs ressources professionnelles se fondent sur des récompenses intrinsèques et la justice sociale. Les exigences et les ressources en matière familiale sont liées au stade de développement des familles et varient donc d’une répondante à l’autre. La recherche identifie les exigences quant à l’interpénétration des frontières entre le travail et la maison ainsi que toutes les ressources et stratégies utilisées par ces cadres en vue de faire face aux défis de travailler au sein d’écoles implantées dans des milieux défavorisés. Mots clés : direction d’école, école urbaine, directeurs d’école, écoles dans des milieux défavorisés
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.007 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".