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Record W4372080204 · doi:10.22490/25394088.4441

Impacto inequitativo en el cumplimiento de los derechos humanos en México por COVID-19

2020· article· es· W4372080204 on OpenAlex
Isi Verónica Lara Andrade, Juan Carlos Guzmán Rios

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

VenuePublicaciones e Investigación · 2020
Typearticle
Languagees
FieldSocial Sciences
TopicSocial Issues and Policies in Latin America
Canadian institutionsImpact
Fundersnot available
KeywordsPolitical scienceHumanitiesCoronavirus disease 2019 (COVID-19)PhilosophyMedicine

Abstract

fetched live from OpenAlex

El texto que presentamos, convoca la aplicación de diferentes discursos que se generan en la ciencias sociales y humanas, resultado del tema que se aborda “Impacto inequitativo en el cumplimiento de los derechos humanos en México por COVID-19”, y que en efecto la sociedad actual, se enfrenta a escenarios de crisis económica y de salud latentes, esto hace que los autores de este trabajo, reflexionen sobre elementos fundamentales de su funcionamiento, y como ésta ha sido impactada, además de ubicar la importancia del cumplimiento de los derechos humanos, es evidente esta prioridad ante las diferentes expresiones de la necesidad de aplicación en términos de civilidad y equidad, el ensayo apunta desde una perspectiva crítica, pero constructiva y viable.

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)0.002
metaresearch head score (Gemma)0.019
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.855
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.019
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.003
Science and technology studies0.0010.002
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.064
GPT teacher head0.414
Teacher spread0.350 · 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