The Development of Program Evaluation Tools for Women and Children at Rural Women’s Shelters
Bibliographic record
Abstract
Women’s shelters have faced a near-constant state of flux since the start of the COVID-19 pandemic. This, combined with decades of being severely under-resourced, has culminated in a lack of program evaluation within women’s shelters. As such, the purpose of this research was to develop two universal program evaluation tools that will meet the needs of service users (i.e., women and children) and providers at two rural women’s shelters in Ontario. To develop the tools in partnership with the shelters, the Framework for Program Evaluation in Public Health, the Delphi Method, and Thorne’s Interpretive Description approaches were employed. Two tools were developed, with the adult version consisting of 18 questions (e.g., open-ended, Likert scales) and the child version consisting of nine (e.g., yes/no). Future research should explore the utility, feasibility, and acceptability of implementing these tools across a range of women’s shelters, including those of varying geographic and cultural contexts. Keywords: program evaluation; women; children; women’s shelters; rural _________________________________________________________________ Élaboration d’outils d’évaluation de programmes pour les femmes et les enfants dans les refuges pour femmes en milieu rural Les refuges pour femmes sont en constante évolution depuis le début de la pandémie de COVID-19. Cette situation, combinée à des décennies de manque de ressources, a entraîné un manque d’évaluation de programmes au sein des refuges pour femmes. L’objectif de cette recherche était donc de développer deux outils universels d’évaluation de programmes pour répondre aux besoins des utilisateurs de services (c.-à-d. les femmes et les enfants) et des prestataires de services dans deux refuges pour femmes en milieu rural en Ontario. Pour développer les outils en partenariat avec les refuges, le cadre d’évaluation de programmes en santé publique, la méthode Delphi et les approches de description interprétative de Thorne ont été utilisés. Deux outils ont été développés, la version adulte comprenant 18 questions (e.g., échelles de Likert ouvertes) et la version enfant comprenant neuf questions (e.g., oui/non). Les recherches futures devraient explorer l’utilité, la faisabilité et l’acceptabilité de la mise en oeuvre de ces outils dans un éventail de refuges pour femmes, y compris ceux de contextes géographiques et culturels variés. Mots clés : évaluation de programmes, femmes, enfants, refuges pour femmes, milieu rural
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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 | 0.114 | 0.133 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.004 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".