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Ausencia y trauma en el ser para-sí: una lectura de la ontología de Jean-Paul Sartre desde Dominick LaCapra

2021· article· es· W3200556333 on OpenAlexaff
Rafael Pérez Baquero

Bibliographic record

VenueContrastes Revista Internacional de Filosofía · 2021
Typearticle
Languagees
FieldArts and Humanities
TopicPhilosophical and Cultural Analysis
Canadian institutionsJewish Rehabilitation Hospital
Fundersnot available
KeywordsHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

El objetivo del presente artículo es el de reconstruir las nociones fundamentales de la ontología fenomenológica sartreana desde las categorías hermenéuticas de la historia intelectual de Dominick LaCapra. Este bagaje conceptual destaca por su fecundidad a la hora de justificar cómo algunos intelectuales de la pasada centuria han metabolizado las experiencias de violencia e incertidumbre de su tiempo en sus propias obras. Con el fin de proyectar estos esquemas interpretativos, interpretaremos las tesis sartreanas en torno al ser de la conciencia, a la intersubjetividad y al proyecto existencial desde el prisma que ofrecen las reflexiones de LaCapra.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.019
Threshold uncertainty score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0070.035
Scholarly communication0.0080.009
Open science0.0010.004
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0050.001

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.

Opus teacher head0.020
GPT teacher head0.295
Teacher spread0.275 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

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Citations0
Published2021
Admission routes1
Has abstractyes

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