MétaCan
Menu
Back to cohort

How Dentists Account for Social Responsibility: Economic Imperatives and Professional Obligations

2007· article· en· W2110670238 on OpenAlexaffabout
Shafik Dharamsi, Daniel D. Pratt, Michael I. MacEntee

Bibliographic record

VenueJournal of Dental Education · 2007
Typearticle
Languageen
FieldHealth Professions
TopicEthics in medical practice
Canadian institutionsVancouver Hospital and Health Sciences CentreUniversity of British Columbia
Fundersnot available
KeywordsObligationSocial responsibilityProfessional responsibilityPublic relationsPoliticsCorporate governanceDutyPopulationHealth careGovernment (linguistics)Political scienceMedicineLawEnvironmental healthEconomicsManagement

Abstract

fetched live from OpenAlex

This study explores how dentists explain the concept of social responsibility and its relationship to issues affecting access to oral health care by vulnerable segments of the population. Analysis of open-ended interviews with thirty-four dentists, including dental educators, and administrators and officials of dental public health programs in Canada and the United States revealed that four main themes-economics, professionalism, individual choice, and politics-influenced the respondents' sense of social responsibility in dentistry. There was a belief that social responsibility in dentistry is dominated by economic imperatives that impact negatively on the policies and practices directing access to care. Yet, despite the highly critical stance on dentistry as a business, there was practical recognition of the economic realities of dental practice. Nevertheless, those who focused on social responsibility as a professional obligation highlighted the privileges of self-governance along with the accompanying duty to serve the welfare of everyone and not just those who are socioeconomically advantaged.

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)0.007
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.339
Threshold uncertainty score0.873

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.069
GPT teacher head0.546
Teacher spread0.477 · 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

Citations79
Published2007
Admission routes2
Has abstractyes

Explore more

Same venueJournal of Dental EducationSame topicEthics in medical practiceFrench-language works237,207