Actividades esenciales, trabajo a distancia y vigilancia digital. Estrategias para hacer frente al panóptico de la pandemia de COVID‐19
Bibliographic record
Abstract
Resumen La expansión de la vigilancia digital a raíz de la COVID‐19 ha reconfigurado las relaciones de poder en los entornos profesionales. Aquí se analiza críticamente la interacción entre esa vigilancia intrusiva y la ampliación de las prerrogativas empresariales en el lugar de trabajo físico y digital. Con la supervisión excesiva como denominador común de las actividades «esenciales» y «distanciables», se estudian los inconvenientes para ambas categorías de trabajadores durante la pandemia (y después). Se evalúa la idoneidad del marco jurídico de la Unión Europea para abordar la gestión basada en datos. El diálogo social, el empoderamiento de los trabajadores y la alfabetización digital se consideran formas eficaces de promover la flexibilidad, el bienestar y la competitividad.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.006 | 0.020 |
| Scholarly communication | 0.012 | 0.008 |
| Open science | 0.001 | 0.011 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.013 | 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".