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Record W7005506093

Review of the Provincial Framework for Action Against Family Violence

2001· article· en· W7005506093 on OpenAlexaboutno aff

Bibliographic record

VenueeYLS (Yale Law School) · 2001
Typearticle
Languageen
FieldMedicine
TopicBiological and pharmacological studies of plants
Canadian institutionsnot available
Fundersnot available
KeywordsLegislationEconomic JusticeDomestic violenceImmediacyAction (physics)Criminal justice
DOInot available

Abstract

fetched live from OpenAlex

When the Framework was reviewed by the Department of Justice Monitoring Committee in 1999, the Committee recommended that the Department of Justice coordinate a focused consultation with key community and justice system stakeholders to review the experience of provincial jurisdictions which have enacted provincial/family violence legislation and to determine, in light of the results obtained from the Framework for Action, whether the adoption of such legislation would benefit victims of spousal/partner violence and their children.(4)\nIn the jurisdictional comparison and literature review done as part of this review, we looked at the legislation that exists in six Canadian jurisdictions and at reviews done of this legislation, and we questioned stakeholders in those provinces about their views on the value of the legislation.(5)\nEvaluations and discussions with other jurisdictions demonstrate that victims appreciate the immediacy of protection and the practical remedies of exclusive occupation of the home and temporary care and custody of the children. Five years after the adoption of the Framework, it may be time to reconsider the decision not to enact civil domestic violence legislation and to look more seriously at the additional range of remedies provided under the legislation in other provinces.

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)0.039
metaresearch head score (Gemma)0.047
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.911
Threshold uncertainty score0.995

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0390.047
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0130.019
Science and technology studies0.0080.005
Scholarly communication0.0080.003
Open science0.0060.003
Research integrity0.0050.006
Insufficient payload (model declined to judge)0.0040.001

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 head0.056
GPT teacher head0.335
Teacher spread0.279 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations0
Published2001
Admission routes1
Has abstractyes

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