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Record W4214528851 · doi:10.55467/reder.v6i1.81

“Neo Colonialidad” y gestión del riesgo de desastres en América Latina

2022· article· es· W4214528851 on OpenAlexaboutno aff
Mirian Hernández Macías

Bibliographic record

VenueRevista de Estudios Latinoamericanos sobre Reducción del Riesgo de Desastres REDER · 2022
Typearticle
Languagees
FieldEarth and Planetary Sciences
TopicGeological and Tectonic Studies in Latin America
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical scienceCartographyGeographyArt

Abstract

fetched live from OpenAlex

El examen del desarrollo histórico de las organizaciones que los gobiernos en el continente Americano han desplegado para enfrentar desastres, muestra diferencias notables entre Estados Unidos (y Canadá) y el resto de los países latinoamericanos donde éste mantiene evidente rol hegemónico directo (en la relación bilateral y multilateral), e indirecto (a través de las agencias de la ONU incluidas las financieras como el Banco Mundial) en nuestro subcontinente. Esas diferencias pueden ser observadas tanto en la configuración de las administraciones públicas, en término de modelo de organización (Defensa Civil/Protección Civil, Manejo de Emergencias), como en las bases conceptuales del proceso de desastre con fines de intervención (fases del desastre) y la reinvención artificial de los conceptos riesgo, y resiliencia. Esas diferencias suponen una relación de colonialidad ampliamente reforzadas por las organizaciones internacionales mencionadas, a través de acuerdos diplomáticos adoptados en las convenciones internacionales desde Kioto hasta Sendai, etc.. Mientras tanto, los desastres mantienen una tendencia de aumento. Nuestro subcontinente, en su conjunto, asume aún la dominación neocolonial que se expresa precisa y nítidamente en esta esfera del desastre, particularmente en la medida en que la producción de conocimiento mantiene formas subordinadas.

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)0.002
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.353
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0000.003
Science and technology studies0.0040.003
Scholarly communication0.0010.000
Open science0.0020.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0070.000

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 head0.011
GPT teacher head0.245
Teacher spread0.234 · 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; both teacher heads agree on what is shown here.

Study designObservational
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

Citations7
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueRevista de Estudios Latinoamericanos sobre Reducción del Riesgo de Desastres REDERSame topicGeological and Tectonic Studies in Latin AmericaFrench-language works237,207