Imaginarios de la robotización: la automatización desde la perspectiva del empleado
Bibliographic record
Abstract
En el contexto de la cuarta revolución industrial se investigaron las percepciones de algunos empleados con mayor riesgo de desocupación tecnológica en aras de la robotización. Se organizaron grupos de discusión con obreros del sector automotriz, químico, agentes de centros telefónicos y empleadas domésticas. Los principales hallazgos indican que la tecnología es deseable cuando sirve para apoyar el trabajo del empleado, mas no para reemplazarlo. Los participantes expresan su pesimismo respecto a posibles políticas públicas que pudieran compensar su desempleo, así como de la consideración de los empresarios para sustituir a los empleados por máquinas. El valor de este trabajo radica en el abordaje de un fenómeno actual que investiga la opinión de actores que, si bien son los más afectados, no influyen en la toma de decisiones de los procesos de automatización.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".