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O USO DAS FONTES NA CONDUÇÃO DA PESQUISA HISTÓRICA

2017· article· pt· W2774355150 on OpenAlexaff
María Itayra Padilha, Maria Lí­gia dos Reis Bellaguarda, Sioban Nelson, Ana Rosete Maia, Roberta Costa

Bibliographic record

VenueTexto & Contexto - Enfermagem · 2017
Typearticle
Languagept
FieldArts and Humanities
TopicOral History, Memory, Narrative Analysis
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

RESUMO Objetivo: instrumentalizar pesquisadores, estudantes e interessados em história da enfermagem e saúde na condução de estudos com a metodologia da história oral, documental e estudos iconográficos. Método: reflexão teórico-metodológica realizada à luz da experiência e conhecimento dos autores que orienta a compreensão da utilização da história oral, documental e iconográfica. Resultados: explicita os tipos de abordagem e seus detalhamentos desde a etapa de coleta, organização, tratamento, análise e interpretação dos dados. A condução da Pesquisa Histórica tem relação direta com a preservação e a qualidade dos documentos, situando-se no campo das pesquisas qualitativas que utilizam estratégias metodológicas diferenciadas e validadas para a construção do conhecimento histórico. Conclusão: o conhecimento e a instrumentalização sobre o desenvolvimento de pesquisas históricas em Enfermagem e saúde, utilizando adequadamente os métodos, técnicas ou disciplinas para sua implementação, propicia a melhoria na qualidade dos estudos sóciohistóricos e sua utilização.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.013
metaresearch head score (Gemma)0.027
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.017
Threshold uncertainty score0.066

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.027
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0050.007
Science and technology studies0.0070.014
Scholarly communication0.0170.011
Open science0.0010.006
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0130.001

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 head0.520
GPT teacher head0.460
Teacher spread0.060 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreMethods

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

Citations61
Published2017
Admission routes1
Has abstractyes

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