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Record W1683968064

Evaluation of the Community Group Programme for Children & Young People: final report

2012· article· en· W1683968064 on OpenAlexaboutno aff
Sevasti‐Melissa Nolas, Lucy Neville, Erin Sanders-McDonagh

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicIntimate Partner and Family Violence
Canadian institutionsnot available
Fundersnot available
KeywordsFocus groupSalience (neuroscience)Work (physics)PsychologyMedical educationDevelopmental psychologyPedagogySociologyMedicineEngineering
DOInot available

Abstract

fetched live from OpenAlex

The report presents findings from the evaluation of the Community Group Programme (CGP). The CGP is a 12-week psycho-educational, group work programme for children and young people who have experienced domestic violence. The Programme was developed in Canada and is being rolled out in England for the first time across 32 London boroughs. The programme is unique in working with children and their mothers concurrently and in a child-focused way. The study takes a theory-driven approach to evaluation. We employ a mixed method research strategy to answer questions of process (how does the CGP work?), impact (does the CGP make a difference and, if so, what sort of difference), salience (does the CGP matter to children and mothers and if so, in what ways?) and cost (what is the cost of CGP?). The final report presents findings from questionnaires, interviews and focus groups with children, mothers and professionals.

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)0.034
metaresearch head score (Gemma)0.041
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.040
Threshold uncertainty score0.179

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0340.041
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0020.002
Science and technology studies0.0030.001
Scholarly communication0.0030.002
Open science0.0030.004
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0110.002

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 head0.130
GPT teacher head0.397
Teacher spread0.267 · 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 designObservational
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

Citations31
Published2012
Admission routes1
Has abstractyes

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