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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 OpenAlex
Denise Gastaldo, Francisco Javier Mercado-Martínez, Milagros Ramasco-Gutiérrez, Alejandra G. Lizardi Gómez, María Ángeles Gil-Nebot

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

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.

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)0.016
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.346
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0160.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.003
Science and technology studies0.0020.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
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 head0.899
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