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Record W2001355003 · doi:10.1089/jwh.2011.3074

Prenuptial Dental Extractions in Acadian Women: First Report of a Cultural Tradition

2011· article· en· W2001355003 on OpenAlexaboutno aff
Sara Gordon, Linda M. Kaste, Andrei Barasch, Monika M. Safford, W C Foong, Adry ElGeneidy

Bibliographic record

VenueJournal of Women s Health · 2011
Typearticle
Languageen
FieldDentistry
TopicDental Health and Care Utilization
Canadian institutionsnot available
FundersUniversity of Illinois at Urbana-Champaign
KeywordsMedicineDentistryPopulationCohortPsychological interventionCohort studyDental archDental healthFamily medicineNursing

Abstract

fetched live from OpenAlex

BACKGROUND: Prenuptial tooth extractions, extractions of all teeth in at least one dental arch before marriage, are not identified in the dental literature. Driven by a professional encounter, the purpose of this study was to confirm the existence of this practice among Acadian women. METHODS: An 8-item survey instrument with space for comments was mailed to 182 dentists from traditionally Acadian regions of Canada. The survey was provided in English and French. RESULTS: Ninety dentists responded (50.3%); 8 of them (9%) had been asked to perform prenuptial extractions, and an additional 9 volunteered awareness of this practice. Awareness and requests were associated with dental practice in a county with a ≥20% French-speaking population. CONCLUSIONS: Prenuptial extractions in this population have been confirmed by the current cohort of dentists. The potential public health, clinical, and systemic health research implications for women who are edentulous for most of their adult life merit further study. Additionally, it is important to determine if interventions are needed to curtail cultural expectations of such practices.

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: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.932
Threshold uncertainty score0.135

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 studies0.0010.001
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 head0.044
GPT teacher head0.337
Teacher spread0.292 · 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 designCase report
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

Citations28
Published2011
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Women s HealthSame topicDental Health and Care UtilizationFrench-language works237,207