CANADIAN WOMAN STUDIESILES CAHIERS DE LA FEMME Violence Against Women in the Context of Mental Illness Hidden Costs for Sisters Who are Caregivers
Bibliographic record
Abstract
femmes duns le contexte de la sante' mentale en e'tudiant les cas d'aide apporte'e aau maladepar les membres de la famille. L 'histoire de cm de trois femmes dkmontre comment la violence est entrke duns la famille et a laisskdes se'quelh qu 'elles apporteront aver elles duns leur rble de&tures soignantes. Canadian and American estimates suggest that up to 2.6 per cent of the population is diagnosed with a men-tal illness (Baronet). Some of these people are able to manage their ill-ness independently, or with the as-sistance of mental health profession-als. However, alarge number ofthese individuals are reliant on caregiving by family members, particularly if they are diagnosed with a serious and persistent mental illness like schizo-phrenia (Schizophrenia Society of Canada). Work by many researchers establishes that family members who take on this role experience high lev-els of stress and burden (Baronet; Saunders). These consequences are experienced primarily by mothers, who are usually the primary caregivers for people diagnosed with mental illnesses (Lefley and Hatfield). Yet, as the current generation of caregivers ages and becomes less available, sis-ters are taking on responsibility for caregiving of siblings who continue to need high levels of support and care (Pickett-Schenk). There are important differences between the caregiving that occurs between sisters and their ill siblings and the caregiving that occurs when mothers care for their adult chil-dren. First, the sibling relationship is one of the most enduring in any family (Cicirelli). Therefore, the commitment to caregiving for a brother or sister has no foreseeable time limit and can become an ex-CHARMAINE C. W l L L l A M S tended, life-long obligation. Sec-ond, sibling family relationships are more horizontal and egalitarian than parent-child relationships and, with adulthood, connections between siblings become voluntary
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.012 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 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".