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Record W7096392767

Highlights

2015· article· en· W7096392767 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicLaw and Political Science
Canadian institutionsnot available
Fundersnot available
KeywordsDomestic violenceSuicide preventionPoison controlInjury preventionOccupational safety and healthHuman factors and ergonomicsLongitudinal study
DOInot available

Abstract

fetched live from OpenAlex

the other in an estimated 461,000 households, which represents 37 % of all households with spousal violence in the five-year period preceding the survey. • In cases where children witnessed spousal violence, they were more likely to witness assaults against their mothers (70%) than against their fathers (30%), and assaults involving mothers tended to be more serious. Over half of the female victims in these cases feared for their lives. • Adult victims of spousal violence were more likely to seek help from the police or from social services when children witnessed the violence than when no children were present. • During the one-year period ending March 31, 2000, an estimated 57,200 women together with 39,200 children were admitted to 448 shelters across Canada, the majority fleeing violence at home. Three-quarters of these children were under 10 years of age. • According to the National Longitudinal Survey of Children and Youth, children who were exposed to adults or teenagers physically fighting in the home were less likely to have positive or effective interactions with their parents than other children. They were also more likely to be living in households with low family functioning and high parental depression. • Witnessing family violence is also linked to negative behaviour in children. Children who are exposed to

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.936
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.089
GPT teacher head0.370
Teacher spread0.280 · 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 teacher head, not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreOther

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
Published2015
Admission routes1
Has abstractyes

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