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Record W3166743878

The effect of the Roots of Empathy program on the use of psychotropic medications among youth in Manitoba

2016· article· en· W3166743878 on OpenAlexaffabout
Lindsey Dahl, Mariette Chartier, Randy Fransoo, Bruce Tefft

Bibliographic record

VenueMspace (University of Manitoba) · 2016
Typearticle
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsManitoba HealthUniversity of Manitoba
Fundersnot available
KeywordsEmpathyPsychologyPsychiatryMedicineClinical psychologyGerontology
DOInot available

Abstract

fetched live from OpenAlex

Background: Psychotropic medications prescriptions to youth have increased. Roots of Empathy (ROE) is a social and emotional learning program that may influence the use of psychotropic medication. Methods: Administrative data was analyzed in a matched sample of children who received ROE during 2002/03 to 2012/13. Kaplan-Meier survival curves and Cox proportional hazard models were used to estimate the association between ROE and psychotropic medication dispensations. Results: Few significant differences were observed. Children who received ROE in kindergarten to grade 3 had a lower adjusted hazard for an anxiolytic dispensation. Children who received ROE in grade 7 to 8 had a higher hazard for an antipsychotic dispensation. Males who received the program had an increased hazard for an antipsychotic dispensation. Conclusion: There was no consistent differences in the likelihood of being dispensed a psychotropic medication between children who received ROE and children who did not in Manitoba.

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)0.002
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 score0.354
Threshold uncertainty score0.713

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.027
GPT teacher head0.232
Teacher spread0.205 · 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
Published2016
Admission routes2
Has abstractyes

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