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Record W2990623580 · doi:10.5102/pic.n1.2018.6327

A prevalência da Síndrome de Burnout em estudantes de medicina do Distrito Federal

2019· article· pt· W2990623580 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePrograma de Iniciação Científica - PIC/UniCEUB - Relatórios de Pesquisa · 2019
Typearticle
Languagept
FieldHealth Professions
TopicOccupational Health and Burnout
Canadian institutionsDiscovery Air (Canada)
Fundersnot available
KeywordsHumanitiesPsychologyMedicinePhilosophy

Abstract

fetched live from OpenAlex

A Síndrome de Burnout é caracterizada por exaustão física e emocional frente a uma resposta emocional crônica ao estresse desencadeado pela sobrecarga de funções. Síndrome é necessário os sintomas de exaustão emocional, descrença e ineficáciaprofissional. O propósito deste estudo foi observar através de questionários a prevalência da síndrome de burnout em estudantes de medicina do Distrito Federal e a identificação dos possíveis fatores estressores e protetores para o surgimento da síndrome.Dentre as universidades analisadas, o Centro Universitário de Brasília apresentou maior adesão à pesquisa e menores indícios para a síndrome, em oposição a Universidade Católica de Brasília apresentou os maiores valores positivos para o desenvolvimento da síndrome 35,4%. O sexo feminino teve maior participação, 166 respostas, destas 24% estavam de dentro dos critérios de diagnóstico da síndrome.Em relação aos fatores protetores, observou-se que não morar sozinho e possuir um relacionamento diminuem a chances para o aparecimento da síndrome

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.

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)0.010
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.206
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.004
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.002
Science and technology studies0.0030.001
Scholarly communication0.0010.001
Open science0.0030.001
Research integrity0.0030.007
Insufficient payload (model declined to judge)0.0030.004

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 head0.035
GPT teacher head0.384
Teacher spread0.349 · 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