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Record W4294711847 · doi:10.1177/00328855221121272

The Correctional Services Canada Institutional Mother Child Program: A Look at the Numbers

2022· article· en· W4294711847 on OpenAlexaffabout
Martha Paynter, Ruth Martin‐Misener, Adelina Iftene, Gail Tomblin Murphy

Bibliographic record

VenueThe Prison Journal · 2022
Typearticle
Languageen
FieldPsychology
TopicChild Abuse and Trauma
Canadian institutionsNova Scotia Health AuthorityDalhousie UniversityUniversity of New Brunswick
Fundersnot available
KeywordsCriminalizationPrisonPopulationDescriptive statisticsMedicinePsychologyCriminologyEnvironmental health

Abstract

fetched live from OpenAlex

Women are the fastest growing population in federal prison in Canada. Women's incarceration has significant implications for families, as approximately two-thirds have children who face intergenerational trauma, risk of criminalization, and health concerns. The Correctional Services Canada Mother Child Program allows children up to age six to live with their incarcerated mothers. Publicly available information about outcomes associated with the program is scarce, including the number of participants. Using data from 2000–2020 acquired through an Access to Information and Privacy request, this article presents descriptive statistics about the program. Findings indicate the program is underused, and associated outcomes are under-researched.

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)0.001
metaresearch head score (Gemma)0.005
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.041
Threshold uncertainty score0.301

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.006
Science and technology studies0.0050.001
Scholarly communication0.0030.002
Open science0.0020.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.009
GPT teacher head0.255
Teacher spread0.246 · 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

Citations6
Published2022
Admission routes2
Has abstractyes

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