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Record W2149687202 · doi:10.1300/j012v17n02_03

Research to Action

2006· article· en· W2149687202 on OpenAlexaff
Patricia E. Allard

Bibliographic record

VenueWomen & Criminal Justice · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicChild Welfare and Adoption
Canadian institutionsUniversity of TorontoQueen's University
Fundersnot available
KeywordsAction (physics)AddictionFoster careSentencePublic relationsPsychologyPolitical scienceMedical educationMedicineNursingComputer sciencePsychiatry

Abstract

fetched live from OpenAlex

Over the past two decades, Congress has helped states develop demonstration projects enabling mothers at risk of incarceration for drug offenses to be diverted to community-based facilities to serve their sentence. Many of these projects allow mothers to live with their children while serving their sentence and completing a treatment program. While these demonstration projects are a step in the right direction, there are not enough of them to address the growing needs of mothers at risk of incarceration and children at risk of placement in foster care. With concentrated and thorough research assessing the effectiveness and possibilities for improvement of current demonstration projects, researchers can help demonstrate that it is sound for policy makers to move toward a nation-wide implementation of comprehensive community-based treatment programs for mothers and their children as an alternative to incarceration and foster care placement for families struggling with drug addiction.

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)0.060
metaresearch head score (Gemma)0.091
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.067
Threshold uncertainty score0.318

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0600.091
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0030.002
Science and technology studies0.0090.018
Scholarly communication0.0150.019
Open science0.0050.017
Research integrity0.0140.015
Insufficient payload (model declined to judge)0.0670.014

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 head0.110
GPT teacher head0.433
Teacher spread0.322 · 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
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

Citations4
Published2006
Admission routes1
Has abstractyes

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