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Record W1989251710 · doi:10.1177/104365960201300202

Qualitative Health Research in Ibero-America: The Current State of the Science

2002· article· en· W1989251710 on OpenAlexaff
Denise Gastaldo, Francisco Javier Mercado-Martínez, Milagros Ramasco-Gutiérrez, Alejandra G. Lizardi Gómez, María Ángeles Gil-Nebot

Bibliographic record

VenueJournal of Transcultural Nursing · 2002
Typearticle
Languageen
FieldHealth Professions
TopicHealth Policy Implementation Science
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsLatin AmericansQualitative researchLibrary sciencePolitical scienceRegional scienceGeographySociologySocial scienceComputer science

Abstract

fetched live from OpenAlex

Qualitative health research (QHR) comprises a field that has spread and consolidated in Ibero-America (Iberian and Latin American countries) during the 1990s. Until now, however, no systematic evaluation has been made of the qualitative health research published in the region. The aim of this article is to discuss four aspects of QHR: the capability and limitations of using international databases to identify Ibero-American qualitative health studies; the principle health topics studied in Latin America using QHR methodologies; the development of QHR in Spain; and the theoretical perspectives that guide studies in Latin America. A bibliographic search was conducted to identify QHR studies listed in 17 international and/or regional databases. A parallel search was conducted by contacting research centers, academic institutes, and key researchers in several countries.

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)0.155
metaresearch head score (Gemma)0.140
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.845
Threshold uncertainty score0.818

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1550.140
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0170.030
Science and technology studies0.0050.012
Scholarly communication0.0210.010
Open science0.0030.008
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.0060.001

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 head0.899
GPT teacher head0.780
Teacher spread0.119 · 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.

Study designTheoretical or conceptual
DomainMethods
GenreReview

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

Citations18
Published2002
Admission routes1
Has abstractyes

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