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Record W7060815572

The Oral Health Status of Incarcerated Youth at a Toronto-area Youth Centre

2012· dissertation· en· W7060815572 on OpenAlexaboutno aff

Bibliographic record

VenueTSpace (University of Toronto) · 2012
Typedissertation
Languageen
FieldEngineering
TopicParticle accelerators and beam dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsOral healthDental careYoung adultDental healthOral and maxillofacial pathologyHealth careOral health care
DOInot available

Abstract

fetched live from OpenAlex

Canadian correctional institutions provide dental services to incarcerated young people, but data on the dental health of these groups do not exist. Objective: To determine the oral health status of youth in a closed-custody youth facility in the country’s largest urban centre. Methods: A cross-sectional study of male and female youth incarcerated at a Toronto-area facility was conducted from September 2010 till July 2011. Participants completed a survey on social, correctional and dental histories, and underwent oral examination. Results: The 101 adolescent participants had a mean DMFT of 4.39 with 81.2% having DMFT>0. The proportion of DT when DMFT>0 was 0.51. Race, custody history and dental pain were indicators of poor oral health. Conclusions: By quantifying the need for dental services and by identifying variables associated with greater dental disease experience, these findings may assist health care providers in youth correctional facilities with their program planning for their high-needs wards.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.249
Threshold uncertainty score0.501

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.020
GPT teacher head0.239
Teacher spread0.219 · 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

Citations0
Published2012
Admission routes1
Has abstractyes

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