La ciencia política en Colombia: de vocación a disciplina
Bibliographic record
Abstract
Resumen En las últimas dos décadas, la ciencia política en Colombia no sólo se abrió paso, sino que ganó autonomía y prestigio en el campo académico. Este acumulado ha requerido un deslindamiento de las pasiones partidistas y de las polarizaciones intelectuales, así como la utilización de estrategias para sobrevivir el embate de la guerra. Hoy existen más de una docena de departamentos de ciencia política en el país, con programas de pregrado, especializaciones y maestrías. Ha crecido el número de revistas que divulgan los resultados de investigación, cuya agenda se ha expandido. Sin embargo, para garantizar la calidad de la enseñanza y la investigación, se requiere propiciar un mayor debate entre las/os politólogas/os colombianas/os, fortalecer los vínculos con la comunidad académica internacional e institucionalizar los mecanismos de evaluación y regulación.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.009 | 0.010 |
| Scholarly communication | 0.019 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.019 | 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".