Migración marítima irregular y gestión de la acogida en Canarias
Bibliographic record
Abstract
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".