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Record W4367836656 · doi:10.1162/posc_a_00597

Sympathy and Moral Sentiments in Maine de Biran’s Philosophy

2023· article· en· W4367836656 on OpenAlexaff
Grégoire Sanchez

Bibliographic record

VenuePerspectives on Science · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Philosophy and Science
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsSympathyMoralityPhilosophyContext (archaeology)Moral philosophyEpistemologyHistoryPsychologySocial psychology

Abstract

fetched live from OpenAlex

Abstract The foundation of morality, and mainly, the possibility of moral sentiments that are universal and inalienable, is a central problem in Maine de Biran’s philosophy. Many studies focus on the part played by the self in Maine de Biran’s late philosophy, but relatively few consider with precision the importance of the concept of sympathy in this context. In this paper, I would like to show that this concept, which Biran mobilizes from his first to his last writings, is an important conceptual resource in his enterprise of founding morality. I will draw on three main texts that cover almost the entire period in which he wrote, namely, his Mémoire sur l’influence de l’habitude sur la faculté de penser ([1802] 1987), his Mémoire sur les perceptions obscures ou sur les impressions générales affectives et les sympathies en particulier ([1807] 1984), and his Fragments relatifs aux fondements de la morale et de la religion ([1819] 1859). The main finding is that sympathy occupies a central place in this enterprise of moral foundation but undergoes profound and almost contradictory conceptual re-elaborations throughout Biran’s intellectual journey. Although in his first philosophical texts Biran concentrates on the fundamental dimension of organic sympathy, he rejects it almost entirely in his last texts in favor of an analysis of the sympathy between the selves.

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)0.003
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: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.013
Scholarly communication0.0040.003
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.061
GPT teacher head0.277
Teacher spread0.216 · 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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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