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Record W2133043547 · doi:10.2105/ajph.2004.045955

Perception of Dental Illness Among Persons Receiving Public Assistance in Montreal

2005· article· en· W2133043547 on OpenAlexaffabout
Christophe Bedos, Jean‐Marc Brodeur, Alissa Levine, Lucie Richard, Laurence Boucheron, Witnisse Mereus

Bibliographic record

VenueAmerican Journal of Public Health · 2005
Typearticle
Languageen
FieldDentistry
TopicDental Health and Care Utilization
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsMedicineDental carePublic healthFocus groupPerceptionDental public healthFamily medicineNursingPsychology

Abstract

fetched live from OpenAlex

OBJECTIVES: We examined rationales for behaviors related to dental care among persons receiving public assistance in Montreal, Quebec. METHODS: Fifty-seven persons receiving public assistance participated in 8 focus groups conducted in 2002. Sessions were recorded on audiotape and transcribed; analyses included debriefing sessions and coding and interpreting transcribed data. RESULTS: In the absence of dental pain and any visible cavity, persons receiving public assistance believed they were free of dental illness. However, they knew that dental pain signals a pathological process that progressively leads to tooth decay and, therefore, should be treated by a dentist. However, when in pain, despite recognizing that they needed professional treatment, they preferred to wait and suffer because of a fear of painful dental treatments and a reluctance to undertake certain procedures. CONCLUSIONS: Persons receiving public assistance have perceptions about dental health and illness that prevent them from receiving early treatment for tooth decay, which may lead to disagreements with dentists when planning dental treatments.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.471
Threshold uncertainty score0.980

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.023
GPT teacher head0.319
Teacher spread0.296 · 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

Citations44
Published2005
Admission routes2
Has abstractyes

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