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Record W4214730859 · doi:10.25145/r.obitfact.2021.01

Migración marítima irregular y gestión de la acogida en Canarias

2021· report· es· W4214730859 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

Venuenot available
Typereport
Languagees
FieldSocial Sciences
TopicImmigration and Intercultural Education
Canadian institutionsCanarie
Fundersnot available
KeywordsHumanitiesPolitical scienceCoronavirus disease 2019 (COVID-19)ArtMedicine

Abstract

fetched live from OpenAlex

Canarias inicia un nuevo ciclo de intensa afluencia migratoria por vía marítima coincidiendo en el tiempo con el desarrollo de la actual pandemia por coronavirus. Las llegadas irregulares se han multiplicado contando en el archipiélago con un sistema de acogida insuficiente y muy debilitado, después de una década de escasa incidencia de esta movilidad a través de la ruta atlántica, que ahora adquiere renovado protagonismo e incorpora una mayor diversidad de perfiles vulnerables en las siempre peligrosas expediciones. La respuesta institucional ha tenido que enfrentar una mayor complejidad, condicionando la permanente urgencia la adopción de soluciones incompletas e inapropiadas en determinados casos, según refieren muchas de las valoraciones realizadas. El proceso migratorio sigue su curso y cada vez más voces demandan la definición de una adecuada estrategia de acogida, basada en un modelo que integre asimismo los principios de la interculturalidad y se construya mediante la confluencia de todos los actores implicados.

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)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.302
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.000

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 head0.018
GPT teacher head0.388
Teacher spread0.370 · 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

Quick stats

Citations4
Published2021
Admission routes1
Has abstractyes

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