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La centralidad de la familia como recurso en el cuidado domiciliario: perspectivas de género y generación

2005· article· es· W1554941785 on OpenAlexaff

Bibliographic record

VenueRevista Brasileira de Enfermagem · 2005
Typearticle
Languagees
FieldHealth Professions
TopicNursing care and research
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsContext (archaeology)Qualitative researchFocus groupValue (mathematics)PoliticsPosition (finance)Resource (disambiguation)Quality (philosophy)

Abstract

fetched live from OpenAlex

Given the critical situation of informal caregiving in Spain, we explore how in the current socio-economic and political context main caregivers value and understand their family members as a resource to support caregiving. This qualitative study had a postfeminist orientation and was developed in Mallorca (Spain) through individual interviews and focus groups with men and women home caregivers from three generations. The participants identified their families, understood as women, as their main source of help due to the emotional quality of care they provide. However, internal conflicts and gender inequities, among others, made us question the dominant discourse of family's privileged position to take care of dependent people. The implications of these results to public policy are discussed.

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)0.007
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.047
Threshold uncertainty score0.093

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.004
Science and technology studies0.0070.012
Scholarly communication0.0080.003
Open science0.0010.007
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.040
GPT teacher head0.456
Teacher spread0.416 · 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 designQualitative
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

Citations12
Published2005
Admission routes1
Has abstractyes

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