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Record W1980120273 · doi:10.1177/1473325009337842

Patterns of Abuse Disclosure among Youth

2009· article· en· W1980120273 on OpenAlexafffundabout
Michael Ungar, Ken Barter, Sheri M. McConnell, Leslie M. Tutty, Judi Fairholm

Bibliographic record

VenueQualitative Social Work · 2009
Typearticle
Languageen
FieldPsychology
TopicChild Abuse and Trauma
Canadian institutionsUniversity of CalgaryMemorial University of NewfoundlandDalhousie University
FundersMemorial University of NewfoundlandGovernment of Canada
KeywordsPsychological interventionObservational studyPsychologyService providerFocus groupSample (material)Social workService (business)MedicinePsychiatryPolitical scienceSociologyBusiness

Abstract

fetched live from OpenAlex

Evaluation forms completed by youth following participation in abuse prevention programming by the Canadian Red Cross (RespectED) offer a unique opportunity to explore disclosure strategies among a diverse national sample of 1621 young people. The sample comprised all youth in 5 regions who made anonymous written disclosures of abuse on evaluation forms administered after workshops delivered between 2000 and 2003. Focus groups, interviews and observational data were used to ensure the trustworthiness of the data analysis. Findings show that youth who have been abused or witnesses to abuse employ five disclosure strategies: using self-harming behaviours to signal the abuse to others; not talking at all about the abuse to prevent intrusive interventions by others; seeking help from peers; seeking help from informal adult supports; and seeking help from mandated service providers (social workers and police). Findings highlight young people’s use of indirect and direct means of disclosure to ensure their safety.

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)0.003
metaresearch head score (Gemma)0.011
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.033
Threshold uncertainty score0.066

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.057
GPT teacher head0.384
Teacher spread0.328 · 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

Citations48
Published2009
Admission routes3
Has abstractyes

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