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Record W7100766917

Environments: Dental Student Leaders’ Perceptions

2009· article· en· W7100766917 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicNuclear Structure and Function
Canadian institutionsnot available
Fundersnot available
KeywordsSexual orientationPerceptionTransgenderDental educationLesbianDental care
DOInot available

Abstract

fetched live from OpenAlex

Abstract: The objectives of the study reported in this article were to assess dental student leaders ’ perceptions of educational ef-forts concerning lesbian, gay, bisexual, and transgender (LGBT) topics and the cultural climate concerning LGBT issues in dental schools in the United States and Canada. In addition, the perceptions of student leaders who self-identified as belonging to the LGBT community and of students with a heterosexual orientation were compared. Data were collected from 113 dental stu-dent leaders from twenty-seven dental schools in the United States and three in Canada. Fifty student leaders were females, and sixty-two were males. Only 13.3 percent of the respondents agreed that their dental education prepared them well to treat patients from LGBT backgrounds. The more the student leaders believed that their university has an honest interest in diversity, the better they felt prepared by their dental school program to treat patients from LGBT backgrounds (r=.327; p<.001). The better they felt prepared, the more they perceived the clinic environment as sensitive and affirming for patients with different sexual orientations (r=.464; p<.001). The more they reported that dental schools ’ administrations create a positive environment for students with LGBT orientations, the more they agreed that persons can feel comfortable regardless of their sexual orientation (r=.585; p<.001). In conclusion, the findings indicate that dental school administrators play an important role in ensuring that future care providers are well prepared to treat patients from LGBT backgrounds and that staff, faculty, students, and patients from these backgrounds are not discriminated against.

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)0.000
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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.933
Threshold uncertainty score0.371

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.007
GPT teacher head0.248
Teacher spread0.242 · 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 designBench or experimental
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

Citations0
Published2009
Admission routes1
Has abstractyes

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