Comportamiento de elección y no coordinación en un entorno de información global y local: un enfoque computacional
Bibliographic record
Abstract
Esta investigación analiza los efectos de conformidad en las decisiones de los individuos en un contexto en donde los agentes económicos acceden a información global y local. Un modelo de decisión discreta que incorpora el efecto de interacción social es analizado por medio de simulaciones computacionales. Los agentes bajo estudio están dispersos en una cuadrícula de dos dimensiones en donde recolectan información ya sea a partir de sus vecinos von Neumann o de la comunidad entera de agentes. La heterogeneidad es introducida a partir de la diversidad en los incentivos privados de los agentes. Los principales resultados de las simulaciones indican que los efectos de la información global y local pueden producir flujos informativos conflictivos para la toma de decisiones, de tal forma que el comportamiento agregado de decisión de los agentes emerge como volátil e inestable. Asimismo, los resultados indican que la interacción entre información global y local afecta la forma de la distribución del tamaño de las cascadas informativas.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.003 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".