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Record W3102962724 · doi:10.3390/ijerph17218278

The Health Consequences of Neocolonialism for Latin American Immigrant Women Working as Caregivers in Spain: A Multisite Qualitative Analysis

2020· article· en· W3102962724 on OpenAlexaff
Erica Briones‐Vozmediano, Natalia Rivas-Quarneti, Montserrat Gea‐Sánchez, Andreu Bover‐Bover, M. Antònia Carbonero, Denise Gastaldo

Bibliographic record

VenueInternational Journal of Environmental Research and Public Health · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicMigration and Labor Dynamics
Canadian institutionsUniversity of Toronto
FundersInstituto de Salud Carlos IIIXunta de GaliciaUniversitat de LleidaGeneralitat de Catalunya
KeywordsLatin AmericansImmigrationPsychosocialQualitative researchNeocolonialismGender studiesSociologyColonialismPolitical sciencePsychologyGerontologyMedicineSocial scienceLawPsychiatry

Abstract

fetched live from OpenAlex

In Spain, most jobs available for Latin American immigrant women are in intimate labour (caregiving and domestic work). This work is usually performed under informal employment conditions. The objective of this study was to explain how the colonial logic mediates the experiences of Latin American women working in intimate labour in Spain, and the effects of such occupation on their health and wellbeing, using a decolonial theoretical framework. A multi-site secondary data analysis of qualitative data from four previous studies was performed utilizing 101 interviews with Latin American immigrant women working as caregivers in Spain. Three interwoven categories show how the dominant colonial logic in Spain creates low social status and precarious jobs, and naturalizes intimate labour as their métier while producing detrimental physical and psychosocial health consequences for these immigrant caregivers. The caregivers displayed several strategies to resist and navigate intimate labour and manage its negative impact on health. Respect and integration into the family for whom they work had a buffering effect, mediating the effects of working conditions on health and wellbeing. Based on our analysis, we suggest that employment, social, and health protection laws and strategies are needed to promote a positive working environment, and to reduce the impact of caregiving work for Latin American caregivers.

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)0.006
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.195
Threshold uncertainty score0.991

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.095
GPT teacher head0.460
Teacher spread0.365 · 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 teacher head, 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

Citations13
Published2020
Admission routes1
Has abstractyes

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