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Record W4415164963 · doi:10.1080/0145935x.2025.2571592

Mothers’ Perceptions Towards Community Social Pediatrics Services in Rural Settings: A Qualitative Study

2025· article· en· W4415164963 on OpenAlexaff
Vickie Plourde, Hélène Corriveau, Cynthia Goguen, Penelopia Iancu, Anik Dubé

Bibliographic record

VenueChild & Youth Services · 2025
Typearticle
Languageen
FieldHealth Professions
TopicChild and Adolescent Health
Canadian institutionsRoyal Military College Saint-JeanUniversité de MonctonUniversity of AlbertaUniversité de Sherbrooke
Fundersnot available
KeywordsQualitative researchPerceptionQualitative analysisRural communityRural areaPublic health

Abstract

fetched live from OpenAlex

Community social pediatrics (CSP) centers prioritize an interdisciplinary—medicine, social sciences, and law—approach to care. Limited studies have been conducted to document perceptions regarding CSP services in rural settings. The aim of this study was to explore perceptions of mothers living in rural settings toward CSP services. Eight mothers were interviewed. Data were analyzed using a qualitative content analysis approach. Results showed that mothers appreciate the quality and accessibility of services received. They noted positive changes regarding their child psychosocial functioning after receiving services. Our results suggest general positive mothers’ perceptions toward CSP services in rural settings.

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)0.006
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.010
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.002
Scholarly communication0.0020.002
Open science0.0010.002
Research integrity0.0010.001
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 head0.039
GPT teacher head0.428
Teacher spread0.389 · 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 designQualitative
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
Published2025
Admission routes1
Has abstractyes

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