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The Process of Speech-acting Specifies Methods for Grasping Meaning. Ten Operations. A Contribution to Hermeneutics

2015· article· en· W4400610511 on OpenAlex
Thorvald Gran

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Applied Hermeneutics · 2015
Typearticle
Languageen
FieldPsychology
TopicLanguage, Metaphor, and Cognition
Canadian institutionsnot available
Fundersnot available
KeywordsMeaning (existential)IntentionalityAction (physics)Process (computing)HermeneuticsEpistemologySpeech actLinguisticsPsychologySociologyCognitive scienceComputer sciencePhilosophy

Abstract

fetched live from OpenAlex

How does speech-acting theory explain thegeneration of meaning and meaningful collective action? What place does firstperson subjective experience have in the theory? What are some of themethodological implications of the theory? The purpose here is to outline the Searlean theory of meaning formationand to draw some directions for research into meaning formation andorganization from that outline. Searle assumes a deep intentionality, adirectedness towards the world of all the human capacities. Searle asks: how dohumans from external inputs from the world and through language produceknowledge of the world and organized projects that implemented change theworld. Reasoning implies meaning. Reasons to act identify conditions of success= a meaningful act. Research directions (10) are drawn from elements of the speech act theory: the locutionary process, status assignments and meanings,willfulness, types of speech acts, decision-making and organization.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.539
Threshold uncertainty score0.508

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.395
Teacher spread0.341 · 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