Reseña al libro de Pierre Dardot, La memoria del futuro: Chile 2019-2022
Bibliographic record
Abstract
Datos del autor: Pierre Dardot es doctor en Filosofía, profesor emérito de la Universidad de Nanterre (Paris-X) e investigador adjunto del laboratorio Sophiapol, de la Unidad de Investigación en Sociología, Filosofía y Antropología Política de la misma universidad. Junto a Christian Laval fundaron y lideran el grupo de estudio Question Marx. El profesor Dardot es especialista en Marx y Hegel, y sus trabajos se inscriben en el horizonte de la crítica política de la sociedad contemporánea, profundizando, principalmente, en cuatro líneas de investigación: el pensamiento de Karl Marx; el análisis del neoliberalismo; Común, como una indagación en las alternativas al neoliberalismo; y la soberanía estatal en Occidente. En esta última línea de trabajo es donde podemos enmarcar el libro reseñado.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".