Women Survivors' Experiences of the Intersection of Abuse and Work
Bibliographic record
Abstract
Abuse creates barriers that effect women’s ability to enter the paid work force: barriers that persist long after initial supports have been exhausted. The present paper examines the questions: how do women make meaning of the ways in which they have experienced the intersection of abuse and work after they have been away from abusive experiences for a period? Five women volunteered for extensive one-on-one interviews employing a narrative methodology. The long-term affects of abuse experiences resulting in loss of mental and physical health, educational and work experiences, self-esteem and self-efficacy, voice and emotional support, and loss of a sense of safety in the world was a major across participant theme. Additional themes included readiness for change, housing issues, and working for change with other women. Implications for career counselling practice, from the perspective of a social constructivist career theory, emphasize counselling in the context of women’s whole lives, the importance of hearing women’s stories of abuse, understanding the nature of complex trauma and the need for long-term targeted support in employment programs.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.007 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".