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Record W4402877681 · doi:10.5040/9781350437838

Metaphysical Hermeneutics

2024· book· en· W4402877681 on OpenAlexaboutno aff
Jean Grondin

Bibliographic record

VenueBloomsbury Publishing Plc eBooks · 2024
Typebook
Languageen
FieldArts and Humanities
TopicHermeneutics and Narrative Identity
Canadian institutionsnot available
Fundersnot available
KeywordsHermeneuticsMetaphysicsPhilosophyEpistemology

Abstract

fetched live from OpenAlex

If in its simplest form, hermeneutics is a quest for understanding, then part of that quest will always include striving to understand being and the meaning of being.This open access book takes that ambition seriously, arguing that hermeneutics and metaphysics, so central to philosophical thought but so rarely put in tandem, are two complementary fundamentals of human existence. Metaphysical Hermeneuticsputs forward the argument for a hermeneutical metaphysics in service of philosophy’s basic aim: to make sense of our experience. Jean Grondin builds his argument for this combined discipline around the idea of ‘sense’ – a theme that is both hermeneuticalandmetaphysical. What we seek to glimpse is not just a figment of the mind but always the meaning ofsomething. Grondin calls on one of the founding figures of contemporary hermeneutics Hans-Georg Gadamer to test his theories, singling out the metaphysical dimension of Gadamer’s ideas and questioning his seeming embrace and rejection of that dimension. Rooting these questions in the human search for meaning is a major contribution to the scope and resources of hermeneutic philosophy. The ebook editions of this book are available open access under a CC BY-NC-ND 4.0 licence on bloomsburycollections.com.Open access was funded by the Department of Philosophy at the University of Montreal.

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)0.007
metaresearch head score (Gemma)0.011
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: Other · Consensus signal: Other
Teacher disagreement score0.013
Threshold uncertainty score0.079

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.011
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0050.045
Scholarly communication0.0130.010
Open science0.0020.005
Research integrity0.0040.010
Insufficient payload (model declined to judge)0.0100.003

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 head0.041
GPT teacher head0.235
Teacher spread0.194 · 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
GenreOther

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

Citations6
Published2024
Admission routes1
Has abstractyes

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