La confianza en el siglo XXI: conceptos, estrategias y prácticas
Bibliographic record
Abstract
Podría decirse que un signo de nuestros tiempos es el deterioro de la confianza. No es de extrañar que las preguntas sobre ella partan de la necesidad de acotar bien el concepto y también que aparezca la dificultad para encontrar formas satisfactorias de resolver el problema práctico de cómo construirla o recuperarla. Este libro es el punto de encuentro de varias trayectorias investigativas, unas en la Universidad EAFIT, en materia de valores, capital social y estrategia, y otras en Western Ontario University, en análisis digital. Estas búsquedas convergieron en proyectos materializados entre 2018 y 2021, a la luz de conversaciones y trabajos conjuntos con empresas colombianas y canadienses. La amplia revisión de literatura que se efectuó nos permite afirmar que en el contexto hispanoamericano el tema de la confianza no parece haber llamado con fuerza la atención de la academia; al menos no con la atención y la dedicación que tiene en el ámbito anglosajón.
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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 | 0.005 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.008 | 0.014 |
| Scholarly communication | 0.020 | 0.009 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.013 | 0.003 |
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".