La movilización de los recursos humanos: una fuerza colectiva basada en relaciones de reciprocidad
Bibliographic record
Abstract
Este articulo presenta el modelo de la movilizacion de los recursos humanos, las condiciones sicologicas favorables para su aparicion y los principales incentivos con los que la organizacion puede influir para estimular su desarrollo. Se define el concepto de movilizacion y se presentan en detalle cada una de las cuatro familias de comportamientos de movilizacion (motivacion, colaboracion, agente de cambio y lealtad). Asi mismo se presentan siete condiciones sicologicas (confianza, apoyo, justicia, empowerment, reconocimiento, compromiso y motivacion) y las relaciones entre ellas y con los comportamientos de movilizacion. Este texto es fruto de reflexiones teoricas y de trabajos empiricos realizados de manera individual o en conjunto. Ademas se ha usado en intervenciones en organizaciones grandes que han adoptado este modelo en su gestion de recursos humanos, lo que ha permitido examinarlo como un instrumento de desarrollo organizacional.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.019 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 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".