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Record W2021419220 · doi:10.4103/0970-9290.104957

Dentistry students′ perceptions about an extramural experience with a Brazilian indigenous community

2012· article· en· W2021419220 on OpenAlexaff
Alexandre Fávero Bulgarelli, RenatoCassio Roperto, Soraya Fernandes Mestriner, Wilson Mestriner Júnior

Bibliographic record

VenueIndian Journal of Dental Research · 2012
Typearticle
Languageen
FieldDentistry
TopicDental Health and Care Utilization
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsIndigenousFeelingQualitative researchPerceptionMedicinePsychologyMedical educationOral healthDentistryNursingSociologySocial psychologySocial science

Abstract

fetched live from OpenAlex

OBJECTIVE: The aim of the present study was to evaluate dentistry students' perceptions about an extramural activity designed to deliver dental care to an indigenous community. MATERIALS AND METHODS: This was a qualitative investigation involving 4 students of dentistry who had just had the experience of delivering treatment to indigenous Brazilian people. These students answered questions about the relevance of the experience to their personal and professional lives. We performed Content Analysis to data treatment and it was analysed by Social Representation Theory. RESULTS: Two social representations were reached: a) Being capable to promote oral health; b) Facing human feeling and respect each other. CONCLUSION: We concluded that participation in an extramural project improves the students' understanding of primary health care in dentistry. Such experiences help students develop a sense of cultural respect, comprehensive care, and to understand patients in their totality as social beings with their own values, beliefs, and attitudes regarding oral health care.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.087
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.002
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.092
GPT teacher head0.477
Teacher spread0.386 · 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.

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

Citations16
Published2012
Admission routes1
Has abstractyes

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