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Record W3036470565 · doi:10.1016/j.gaceta.2020.06.002

COVID-19 en migrantes y minorías étnicas

2020· article· es· W3036470565 on OpenAlex

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

VenueGaceta Sanitaria · 2020
Typearticle
Languagees
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsRefugeeResidenceEthnic groupVulnerability (computing)Health equityPolitical scienceSocial exclusionDeportationCoronavirus disease 2019 (COVID-19)Environmental healthGeographyEconomic growthSocioeconomicsImmigrationMedicinePublic healthSociologyDemographyDiseaseNursingInfectious disease (medical specialty)

Abstract

fetched live from OpenAlex

Todavía son escasas las publicaciones que analizan los efectos en migrantes o minorías étnicas de la COVID-19 o de las medidas adoptadas para frenar la pandemia, si bien los primeros estudios apuntan a un mayor impacto en poblaciones negras, asiáticas y de minorías étnicas en Reino Unido o en migrantes en México. Además de en las barreras de acceso a la información y a los servicios sanitarios, consideramos prioritario poner el foco de atención en sus condiciones de vida, particularmente las de quienes se encuentran en situaciones de vulnerabilidad o exclusión social. Nos referimos a personas desempleadas o con trabajos precarizados, sin prestaciones sociales, en condiciones de hacinamiento, que pueden están más expuestas al riesgo de infección y a no recibir un tratamiento adecuado. Previsiblemente el confinamiento ha repercutido más negativamente en migrantes en situación administrativa irregular, en víctimas de violencia de género y en quienes no pueden cumplir con las medidas de distanciamiento físico, como personas refugiadas en campamentos o migrantes en infraviviendas y asentamientos chabolistas, sin condiciones higiénicas adecuadas. Recomendaciones como suspender las deportaciones, prorrogar o facilitar permisos de residencia y trabajo, cerrar los centros de detención de personas extranjeras, evacuar a quienes están en cárceles y en campos de refugiados o asentamientos se han aplicado de manera desigual en diferentes países. Solo una fuerte apuesta política por la equidad sanitaria mundial puede garantizar la salud de poblaciones migrantes y de minorías étnicas y su acceso a medidas de protección, información, pruebas médicas y servicios sanitarios.Palabras clave: Migrantes, COVID-19, Grupos Minoritarios, Vulnerabilidad Social, Determinantes Sociales de la Salud. There are still few publications that analyse the effects on migrants or ethnic minorities of COVID-19 or of measures taken to curb this pandemic, although early studies point to a greater impact on black, asian and ethnic minority populations in the UK or on migrants in Mexico. In addition to barriers to access to information and health services, we consider it a priority to focus on their living conditions, particularly those in situations of vulnerability or social exclusion. People who are unemployed or with precarious jobs, without social benefits, in overcrowded conditions, may be more at risk of infection and not receiving adequate treatment. Confinement has predictably more negative impact on migrants in irregular administrative situations, victims of gender-based violence and those unable to comply with physical estrangement measures, such as refugees in camps or migrants under-living and settlements, without adequate hygienic conditions. Recommendations such as suspending deportations, extending or facilitating residence and work permits, closing detention centres for foreign persons, evacuating those in prisons and refugee camps or settlements have been applied unequally in different countries. Only a strong political commitment to global health equity can ensure the health of migrant populations and ethnic minorities, as well as their access to protection measures, information, medical testing and health services.Keywords: Migrants, COVID-19, Minority Groups, Vulnerable Populations, Social Determinants of Health.

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.389
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0250.010

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 head0.050
GPT teacher head0.351
Teacher spread0.302 · 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