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Record W4405365834 · doi:10.3138/cjpe-2023-0022

Une collaboration recherche-pratique pour améliorer l’organisation des services aux enfants ayant un retard de développement

2023· article· en· W4405365834 on OpenAlexaffvenue
Claudine Jacques, Geneviève Saulnier, Sarah Saulnier-Leclerc

Bibliographic record

VenueCanadian Journal of Program Evaluation · 2023
Typearticle
Languageen
FieldPsychology
TopicFamily and Disability Support Research
Canadian institutionsUniversité du Québec en OutaouaisCégep de l'Outaouais
Fundersnot available
KeywordsPolitical scienceHumanitiesArt

Abstract

fetched live from OpenAlex

The provincial survey on child development and challenges of service accessibility led researchers and stakeholders at an integrated health and social services centre to work together to develop and implement a new trajectory for organizing services provided to children with developmental delays (OSER). This article describes the collaborative research process that led to the implementation and evaluation of this trajectory. The OSER trajectory was developed with stakeholders through a literature review and an ongoing knowledge restitution exercise. Six dimensions were identified for the implementation of the trajectory: monitoring and screening; diagnostic assessment; interventions; support and involvement of parents; interprofessional and intersectoral expertise and collaboration; and administrative and organizational structure. Professionals and clinical managers shared their perceptions of the elements that promote or hinder the OSER trajectory. The triangulation of data collection sources and methods enabled an analysis of the implementation of practices and led to concrete recommendations for the organization of services, in particular the implementation of a childhood diagnostic clinic. This research could serve as a model for other initiatives in health and social services.

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)0.010
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.655
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.323
GPT teacher head0.518
Teacher spread0.195 · 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

Citations1
Published2023
Admission routes2
Has abstractyes

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