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Record W2034231813 · doi:10.1016/s0924-9338(11)72604-9

Evaluation of an affection, love and sex education program for people with moderate intellectual disabilities

2011· article· en· W2034231813 on OpenAlexaffabout
Geraldine Couture, Marc Daigle

Bibliographic record

VenueEuropean Psychiatry · 2011
Typearticle
Languageen
FieldMedicine
TopicDown syndrome and intellectual disability research
Canadian institutionsUniversité du Québec à Trois-Rivières
Fundersnot available
KeywordsAffectionPsychologyPsychological interventionService (business)Medical educationProgram evaluationPedagogySocial psychologyMedicinePsychiatryPolitical science

Abstract

fetched live from OpenAlex

Introduction The Programme d’éducation à la vie affective, amoureuse et sexuelle (ÉVAAS), an affection, love and sex education program for people with moderate intellectual disabilities (Desaulniers, Boucher, Boutet, & Voyer, 2001), is widely used in Quebec and is applied in several locations in Belgium, France and Switzerland. Objectives An implementation evaluation was recently completed as the first stage of a program evaluation. Aims The aim of the project was to establish the value of this program. Methods For the purpose, 73 ÉVAAS sessions at five different sites were observed and questionnaires and interviews with 10 group leaders and their supervisors were analyzed. Results It was found above all that the program was normally implemented in accordance with its spirit and objectives. However, it was also noted that follow-up to interventions carried out during ÉVAAS sessions was much less structured and sustained, particularly as regards those intended for friends and family. Conclusions The research team formulated seven recommendations regarding the program's implementation framework and adjustments required to ensure the achievement of its objectives. The recommendations concern the authors of the program, the educators who use it, their supervisors, as well as service managers.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.577
Threshold uncertainty score0.898

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)0.0010.000

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 head0.064
GPT teacher head0.352
Teacher spread0.288 · 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

Citations2
Published2011
Admission routes2
Has abstractyes

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