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ESTÁGIO CURRICULAR SUPERVISIONADO II: RELATO DE EXPERIÊNCIA NA VIGILÂNCIA EM SAÚDE DE UM MUNICÍPIO DO INTERIOR NORDESTINO

2020· article· pt· W4246744723 on OpenAlexaff
Samuel José Amaral de Jesus

Bibliographic record

VenueRevista Interfaces Saúde Humanas e Tecnologia · 2020
Typearticle
Languagept
FieldHealth Professions
TopicHealth, Nursing, Elderly Care
Canadian institutionsDiscovery Air (Canada)
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

The biomedical plays an extremely important role in coping with health situations, through the diagnosis of various pathologies, and also contributes to prevention and treatment with specific purposes. Among the areas of expertise or professional qualification, Public Health and Sanitarism stand out as to the role of surveillance to collaborate in the investigation of diseases and diseases, as well as the quality of health products and services offered to the population. Given this, the present production aims to report the experiences obtained in the Supervised Curricular Internship II, of the Bachelor Degree Course in Biomedicine, held in the last period of graduation, in the Health Department of a municipality in the Northeast of Brazil, in the area of Surveillance. . From the theoretical aspects, allied to the practice acquired during the 500h of the internship, it was possible to know the reality of the municipality, as well as to deepen the professional practice in Public Health, with regard to the sections of Georeferencing, Systems Diseases Notification, Laboratory of Clinical Analysis, and the sectors focused on the evaluation of products, food and services, under the supervision of professionals from the Biological and Health Sciences, with the realization of real investigations before various users and institutions. Therefore, the internship contributed to the acquisition of knowledge and experiences, as well as to strengthen the field of action of the biomedical, being suggested the specification of Epidemiology as an area of expertise and qualification, in addition to holding events aimed at the consolidation of Biomedicine in Public Health.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.464
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.002
Science and technology studies0.0040.001
Scholarly communication0.0010.001
Open science0.0040.003
Research integrity0.0030.009
Insufficient payload (model declined to judge)0.0070.003

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 head0.074
GPT teacher head0.380
Teacher spread0.306 · 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

Citations0
Published2020
Admission routes1
Has abstractyes

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