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Record W2758568148 · doi:10.1590/0102-311x00118016

Reflexões sobre um fazer etnográfico no pronto-socorro

2017· article· pt· W2758568148 on OpenAlexaff
Janaína de Souza Aredes, Josélia Oliveira Araújo Firmo, Annette Leibing, Karla Cristina Giacomin

Bibliographic record

VenueCadernos de Saúde Pública · 2017
Typearticle
Languagept
FieldHealth Professions
TopicHealth, Nursing, Elderly Care
Canadian institutionsUniversité de Montréal
FundersConselho Nacional de Desenvolvimento Científico e Tecnológico
KeywordsEthnographySociologyArtHumanitiesAnthropology

Abstract

fetched live from OpenAlex

: Ethnography is the principal research method in Anthropology. With a broad scope, it allows using different data collection techniques and incorporates elements observed and obtained in the field into the analysis. In Public Health, it can contribute to understanding the health/disease process and health professionals' and patients' values and attitudes in different healthcare settings. The aim of this article is to present and discuss the ethnographic method based on an empirical study of physicians' hospital work in the face of the limits between life and death. Data collection involved nine months of participant observation and interviews with 43 physicians (25 men and 18 women), 28 to 69 years of age, treating critical patients in different departments of a metropolitan emergency hospital. The various social and cultural aspects experienced by the researcher and obtained from the interlocutors in the field provide a dense description of this hospital ethnography.

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)0.006
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.723
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0090.001
Scholarly communication0.0010.001
Open science0.0030.001
Research integrity0.0040.007
Insufficient payload (model declined to judge)0.0050.016

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 head0.099
GPT teacher head0.447
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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations6
Published2017
Admission routes1
Has abstractyes

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