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Record W2184582404

Parental factors associated with regular use of dental services by second-year secondary school students in Quebec.

2002· article· en· W2184582404 on OpenAlexaffabout
Geoffroy Scott, Jean‐Marc Brodeur, Marie Olivier, Mike Benigeri

Bibliographic record

VenuePubMed · 2002
Typearticle
Languageen
FieldDentistry
TopicDental Health and Care Utilization
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsOddsDental insuranceFamily incomeFamily medicineMedicineMultivariate analysisDental healthLogistic regressionEnvironmental healthDemographyPsychologyDental careSociologyPolitical science
DOInot available

Abstract

fetched live from OpenAlex

The aim of this study was to identify the parental factors associated with regular use of dental services by second year secondary school students in Quebec. Data were collected in 1996-97, as part of a provincial survey on the dental health of Quebec students. A stratified probabilistic sample of 1,351 students, representative at the provincial level, was obtained. Data about frequency of use of dental services, parents' socio-economic characteristics, dental insurance (private and public) and parents' utilization of dental services were selected for this study. Half of the students used dental services regularly (i.e., once every 6 months). Multivariate analysis showed that the strongest parental factors associated with regular use were (in decreasing order of importance) the date of the mother's most recent dental visit, dental insurance, household income and the date of the father's most recent dental visit. After adjustment for the parents' socio-economic characteristics and the availability of dental insurance, students with one parent (particularly the mother) who had visited the dentist within the previous year had better odds of using dental services every 6 months, as recommended by professional standards.

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)0.000
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 score0.111
Threshold uncertainty score0.223

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.021
GPT teacher head0.244
Teacher spread0.222 · 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

Citations31
Published2002
Admission routes2
Has abstractyes

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