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Record W2607646044 · doi:10.1017/s0047404517000173

Action in interaction is conduct under a description

2017· article· en· W2607646044 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueLanguage in Society · 2017
Typearticle
Languageen
FieldArts and Humanities
TopicLanguage, Discourse, Communication Strategies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsAction (physics)ConversationConversation analysisCategorizationKey (lock)AccountabilityComputer scienceOrder (exchange)EpistemologyPsychologyCommunicationPolitical scienceArtificial intelligenceBusinessComputer securityLaw

Abstract

fetched live from OpenAlex

Abstract Requests, offers, invitations, complaints, and greetings are some of the many action types routinely invoked in the description and analysis of interaction. But what is the ontological status of, for instance, a request? In what follows I propose that action is conduct under a description. Thus, for the most part, interaction is organized independently of any action description or categorization of conduct into discrete action types. Instead, participants in interaction draw on the details of the situation in which they find themselves in order to produce conduct that others will recognize and to which they are able to respond in fitted ways. ‘Action’ still plays a key role in the organization of interaction, however, because accountability attaches not to raw conduct but only to conduct under some particular, action-formulating description. (Action, interaction, description, conversation analysis, Anscombe)*

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.048
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.233
GPT teacher head0.404
Teacher spread0.171 · 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