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Record W4387231527 · doi:10.3390/rel14101250

Giving, Showing, Saying: Jean-Luc Marion and Hans-Georg Gadamer on Phenomenology, Hermeneutics, and Revelation

2023· article· en· W4387231527 on OpenAlexaff
Darren E. Dahl

Bibliographic record

VenueReligions · 2023
Typearticle
Languageen
FieldPsychology
TopicPhenomenology and Existential Philosophy
Canadian institutionsBriercrest College and Seminary
Fundersnot available
KeywordsHermeneuticsRevelationPhenomenology (philosophy)PhilosophySketchEpistemologyContext (archaeology)Hermeneutic phenomenologyInterpretation (philosophy)TheologyPsychoanalysisHistoryLinguisticsPsychologyLived experience

Abstract

fetched live from OpenAlex

For more than two decades, the phenomenologies of revelation emerging from twentieth century French philosophy have met a North American reception framed largely within the context of a hermeneutic critique. This essay seeks to intervene in this situation by developing Jean-Luc Marion’s own sketch of a phenomenological hermeneutics and putting it in dialogue with Hans-Georg Gadamer’s account of language in Truth and Method. Thus, in an attempt to further develop Marion’s phenomenological hermeneutics of ‘giving’ and ‘showing’, a space is opened for Gadamer’s notion of ‘saying’. As a result, in the midst of the horizon opened by language itself, the ‘impossible’ phenomenality of revelation shines forth.

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)0.004
metaresearch head score (Gemma)0.005
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 score0.015
Threshold uncertainty score0.037

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.034
Scholarly communication0.0090.008
Open science0.0010.003
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0020.000

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 head0.054
GPT teacher head0.313
Teacher spread0.259 · 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

Citations4
Published2023
Admission routes1
Has abstractyes

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