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Record W2114988486 · doi:10.1177/1078345814541529

Traumatic Brain Injury and Early Life Experiences Among Men and Women in a Prison Population

2014· article· en· W2114988486 on OpenAlexafffundabout
Angela Colantonio, Il Hwan Kim, Stefan Allen, Mark Asbridge, Josian Petgrave, Serge Brochu

Bibliographic record

VenueJournal of Correctional Health Care · 2014
Typearticle
Languageen
FieldMedicine
TopicTraumatic Brain Injury Research
Canadian institutionsUniversité de MontréalDalhousie UniversityUniversity of TorontoToronto Rehabilitation Institute
FundersCanadian Institutes of Health ResearchHealth Canada
KeywordsPrisonMedicineTraumatic brain injuryPsychiatryRehabilitationPopulationSexual abuseInjury preventionPoison controlSubstance abuseClinical psychologyPhysical therapyMedical emergencyPsychologyEnvironmental health

Abstract

fetched live from OpenAlex

This study examined the proportion of men and women reporting previous traumatic brain injury (TBI) in an Ontario (Canada) prison sample by demographic characteristics; adverse life experiences; and criminal, drug, and alcohol use history. Using data from The Cost of Substance Abuse in Canada study based on a random sample from four Ontario prisons, this study found 50.4% of males and 38% of females reporting previous TBI. More TBIs occurred before the first crime for women than for men. Women with TBI experienced more early physical and sexual abuse than those without TBI. Additionally, this study shows high prevalence of early life experiences among persons, particularly women, with a history of TBI. Prisoners and prison staff should be educated on TBI and best practice for rehabilitation of TBI.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.175
Threshold uncertainty score0.309

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.034
GPT teacher head0.371
Teacher spread0.337 · 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.

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

Citations67
Published2014
Admission routes3
Has abstractyes

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