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Record W1669724091

Identifying the Potential for Collaboration between Women's Shelters and Sexual Assault Centres: Comparing and Contrasting the Service Delivery Needs of Clients

2009· article· en· W1669724091 on OpenAlexaboutno aff
Sarah Fotheringham, Debra Joy Tomlinson

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicIntimate Partner and Family Violence
Canadian institutionsnot available
Fundersnot available
KeywordsGeneral partnershipSexual assaultService delivery frameworkService providerService (business)Domestic violenceSexual abuseQualitative researchMedicineNursingSuicide preventionPoison controlPsychologyPolitical scienceMedical emergencyBusinessSociology
DOInot available

Abstract

fetched live from OpenAlex

Many women experience both sexual and domestic violence throughout their lifespan, but do the services of women’s shelters and sexual assault centres reflect this reality? Stemming from a joint recommendation, this research project was conducted in partnership by the Alberta Association of Sexual Assault Centres and the Alberta Council of Women’s Shelters. Qualitative interviews were conducted with 24 service providers representing 19 Alberta women’s shelters and sexual assault centres. The purpose of the study was to identify areas in which the needs of clients intersect or where they dictate distinct and specialized service delivery and to make recommendations regarding potential collaboration.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.015
metaresearch head score (Gemma)0.031
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.091
Threshold uncertainty score0.181

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0150.031
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.003
Science and technology studies0.0100.005
Scholarly communication0.0080.004
Open science0.0030.011
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.033
GPT teacher head0.318
Teacher spread0.285 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2009
Admission routes1
Has abstractyes

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