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Record W4323655512 · doi:10.12927/hcpol.2023.27033

Dentist Disciplinary Action: What Do Dentists Get in Trouble for?

2023· article· fr· W4323655512 on OpenAlexafffundvenueabout
Ai-Leng Foong-Reichert, Sherilyn K. D. Houle, Zubin Austin, David Edwards, Kelly Grindrod

Bibliographic record

VenueHealthcare policy · 2023
Typearticle
Languagefr
FieldHealth Professions
TopicMedical Malpractice and Liability Issues
Canadian institutionsRegional Municipality of WaterlooUniversity of TorontoUniversity of Waterloo
FundersCanadian Institutes of Health ResearchUniversity of Waterloo
KeywordsDisciplineAction (physics)MedicinePsychologyPolitical scienceLaw

Abstract

fetched live from OpenAlex

Objective: This study aims to determine the reasons for disciplinary action, the consequences and any associations with demographic factors for Canadian dentists. Methods: Publicly available regulatory body disciplinary action cases from 10 Canadian provinces were coded. Demographic factors were also coded. Results: There were 344 dentist cases from five provinces between January 2010 and December 2020. The rate of disciplinary action was low (1.38 cases/1,000 practitioners/year). Clinical incompetence was the most common category of disciplinary action, followed by professional misconduct and dishonest business practices. Male dentists were overrepresented in the disciplinary action cases compared to the rest of the workforce. Conclusion: This study is the first, to our knowledge, to describe the outcomes of regulatory body disciplinary action for Canadian dentists.

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)0.005
metaresearch head score (Gemma)0.046
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.998
Threshold uncertainty score0.681

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.046
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.003
Science and technology studies0.0060.004
Scholarly communication0.0040.002
Open science0.0020.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0050.001

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 head0.210
GPT teacher head0.558
Teacher spread0.348 · 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.

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

Citations5
Published2023
Admission routes4
Has abstractyes

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