Inmigración colombiana calificada, crecimiento y desarrollo económico en Canadá en la economía postindustrial
Bibliographic record
Abstract
Este articulo comienza abordando la relacion entre el nivel educativo de la fuerza laboral de un pais, los indices de produccion economica del Estado y las condiciones de vida de la sociedad, afirmando que los Estados son mas competitivos economica y socialmente cuando implementan politicas tendientes a fortalecer y adquirir capital humano. La segunda seccion se refiere a la adquisicion de capital humano de Canada a traves de una politica migratoria que privilegia la entrada de inmigrantes economicos como respuesta a las necesidades planteadas en la economia postindustrial. Debido a que los colombianos son la comunidad latinoamericana mas numerosa en Canada a partir de la implementacion de esta politica, se considera cual es el perfil del inmigrante colombiano calificado y por que interesa al Gobierno canadiense. Finalmente, se concluye que Canada es un pais mas innovador y competitivo economicamente gracias a la inmigracion.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.000 |
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.
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".