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Record W4312063158

The use of the Calgary model in nursing dissertations and theses: a bibliometric study / Utilização do modelo Calgary em dissertações e teses de enfermagem: estudo bibliométrico

2018· article· pt· W4312063158 on OpenAlexaboutno aff
Solange ⁠Fátima Geraldo da Costa, Regina Célia de Oliveira, Ana Aline Lacet Zaccara, Alice de Fátima Moraes Souza, Betânia da Mata Ribeiro Gomes, Thaís Costa de Oliveira

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2018
Typearticle
Languagept
FieldSocial Sciences
TopicHealth Education and Validation
Canadian institutionsnot available
Fundersnot available
KeywordsBibliometricsLibrary scienceSociologyMedicineComputer science
DOInot available

Abstract

fetched live from OpenAlex

Objetivo: Analisar indicadores bibliométricos de dissertações e teses de Enfermagem sobre o Modelo Calgary de Avaliação Familiar (MCAF) produzidas no Brasil. Métodos: estudo bibliométrico, cuja amostra foi constituída por catorze dissertações e sete teses, publicadas no período de 2002 a 2014, selecionadas através de consulta ao Portal Capes, BDENF, BDTD e ao CEPEn. Resultados: os indicadores evidenciam um quantitativo reduzido de publicações acerca da temática, no período investigado. A maioria dos trabalhos foi de Programas de Pós-graduação em Enfermagem da Região Sudeste. A maior parte dos estudos pesquisados foi na modalidade de dissertação. Houve predominância de estudos com enfoque qualitativo. Conclusão: apesar do número pouco expressivo de dissertações e teses de Enfermagem que utilizaram MCAF no Brasil, os estudos baseados nesse modelo despertaram o interesse dos pesquisadores em disseminarem o conhecimento produzido através de prestigiosos periódicos científicos da área.

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)0.005
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Bibliometrics, Science and technology studies, Scholarly communication
Consensus categoriesBibliometrics
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.084
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0240.100
Science and technology studies0.0030.001
Scholarly communication0.0040.004
Open science0.0030.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.645
GPT teacher head0.662
Teacher spread0.017 · 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 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

Citations0
Published2018
Admission routes1
Has abstractyes

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Same venueDOAJ (DOAJ: Directory of Open Access Journals)Same topicHealth Education and ValidationFrench-language works237,207