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Record W161784347

Practice and Policy: Fetal Alcohol Syndrome/Fetal Alcohol Effect: Impacted Offences and the Correctional Service of Canada

2004· dissertation· en· W161784347 on OpenAlexaboutno aff
Eva Silden

Bibliographic record

VenueSummit (Simon Fraser University) · 2004
Typedissertation
Languageen
FieldMedicine
TopicPrenatal Substance Exposure Effects
Canadian institutionsnot available
Fundersnot available
KeywordsFetal alcohol syndromeFetusAlcoholMedicineObstetricsPsychiatryEnvironmental healthCriminologyPolitical sciencePsychologyPregnancyBiologyGenetics
DOInot available

Abstract

fetched live from OpenAlex

Until recently, there has been little acknowledgement or understanding of the problems faced by those affected by fetal alcohol syndrome/fetal alcohol effect (FAS/FAE). This is especially the case for offenders. Research indicates that those affected by FAS/FAE are far more likely to have trouble with the law than those who are not. Despite this, diagnosis of FAS/FAE is rare and therefore the disability remains hidden. A review of Corrections Services of Canada (CSC) policy finds that there are avenues within the policy which could be usehl in addressing the issue of FAS/FAE impacted offenders. To date, these avenues do not appear to be utilized, nor is there CSC policy dealing directly with FAS/FAE affected offenders. Seven interviews with corrections stakeholders indicate that the resources to address the needs of FAS/FAE affected offenders are scarce. This lack of resources results in keeping the disability invisible and prevents those affected from obtaining the assistance they need to live a pro-social lifestyle. The features of one program, the Genesis House Program, which is an exception to this lacking, are considered for future Corrections development.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.569
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.006
GPT teacher head0.230
Teacher spread0.223 · 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 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

Citations2
Published2004
Admission routes1
Has abstractyes

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