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Record W3008439686 · doi:10.1093/joc/jqz045

At the Junction Between Subsistence and Reference: A Pragmatist Take on Interaction Analysis

2020· article· en· W3008439686 on OpenAlexafffund
Thomas Martine, Boris H. J. M. Brummans, François Cooren

Bibliographic record

VenueJournal of Communication · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicLinguistics and Discourse Analysis
Canadian institutionsUniversité de Montréal
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsPragmatismSubsistence agricultureEpistemologySociologySocial relationLimitingPerspective (graphical)Mode (computer interface)ModernityComputer scienceSocial scienceGeographyArtificial intelligencePhilosophyEngineeringHuman–computer interaction

Abstract

fetched live from OpenAlex

Abstract This paper presents a view of interaction analysis that departs from the intersubjectivist assumptions that underlie its ethnomethodological tradition. Adopting a pragmatist perspective, we propose to treat phenomena as being composed of relations; that is, as being constituted by passing through various things and beings. Extending Latour’s work on modernity, we argue that interaction analysts aim to capture social phenomena at the junction between two modes of existence or two manners of passing through others. In the mode of subsistence, social phenomena are (re)produced by continuously passing through new elements. In the mode of reference, social phenomena sustain themselves by going back and forth between various inscriptions. Based on a case study, we show how the movement of subsistence always eludes that of reference, and how analysts can only move along with this movement by limiting their corroboration techniques, both in number and in range. Thus, this paper makes an important contribution to research on language and social interaction, as well as science and technology studies.

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)0.022
metaresearch head score (Gemma)0.017
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 score0.022
Threshold uncertainty score0.118

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0220.017
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0060.003
Science and technology studies0.0100.102
Scholarly communication0.0140.025
Open science0.0030.015
Research integrity0.0050.011
Insufficient payload (model declined to judge)0.0030.001

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 head0.122
GPT teacher head0.321
Teacher spread0.198 · 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

Citations5
Published2020
Admission routes2
Has abstractyes

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