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The Other in The Self: The Ontological Metaphoricity of Language

2022· article· en· W4402507953 on OpenAlexvenueno aff
Cristina Valencia Mazzanti, Melissa Freeman

Bibliographic record

VenueJournal of Applied Hermeneutics · 2022
Typearticle
Languageen
FieldPsychology
TopicLanguage, Metaphor, and Cognition
Canadian institutionsnot available
Fundersnot available
KeywordsDialogicForegroundingMeaning (existential)EpistemologyLinguisticsHermeneuticsLanguage-gameSociologyPhilosophy

Abstract

fetched live from OpenAlex

Through text and illustrations, I (first author) theorize language as a being that becomes and revels in its plurality, illuminating the inherent and necessary aesthetic and multimodal dimensions of any struggle toward meaning. To do so, I start by foregrounding my own experiences with the diversity that characterizes language to portray the significance of studying its ontology and plurality. I then identify philosophical hermeneutics as a practical metatheory that centrally positions language as a medium for understanding. From a hermeneutic perspective, language manifests as a network of meaning that is constituted through an ontological metaphoricity that echoes a capacity to both present and represent phenomena. This metaphoricity of language is then discussed in terms of its linguistically, speculative, and dialogic dimensions. I pose that language discloses an otherness in ourselves that is fostered in a capacity for renewed understandings and meanings that are yet becoming.

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)0.005
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: Other · Consensus signal: Other
Teacher disagreement score0.009
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0050.040
Scholarly communication0.0090.011
Open science0.0010.004
Research integrity0.0020.004
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 head0.022
GPT teacher head0.295
Teacher spread0.273 · 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".

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Citations0
Published2022
Admission routes1
Has abstractyes

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