MétaCan
Menu
Back to cohort
Record W2746557957 · doi:10.1515/sem-2016-0084

The gap between instruction (plan) and situated action: A challenge to semiotics?

2017· article· en· W2746557957 on OpenAlexaff
Wolff‐Michael Roth

Bibliographic record

VenueSemiotica · 2017
Typearticle
Languageen
FieldArts and Humanities
TopicDiscourse Analysis in Language Studies
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsInscribed figureSemioticsInterpretation (philosophy)SituatedPraxisAction (physics)Computer scienceSociologyEpistemologyLinguisticsPhilosophyProgramming languageArtificial intelligenceMathematics

Abstract

fetched live from OpenAlex

Abstract In this study, I describe a potential challenge to semiotics, which exists in the fact that no interpretation of an instruction (text) can get us closer to doing what the instructional text describes. I provide a praxeological description of a situation in a software development firm where the instructions (rules) for a particular type of meeting are inscribed on the whiteboard in front of which the meetings were held. I discuss the gap between instructions and the behavior they describe and the moral order of praxis that is not inscribed in instructions.

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)0.014
metaresearch head score (Gemma)0.019
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 score0.074

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.019
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0050.106
Scholarly communication0.0150.021
Open science0.0020.007
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0040.001

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 head0.092
GPT teacher head0.322
Teacher spread0.230 · 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

Citations1
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueSemioticaSame topicDiscourse Analysis in Language StudiesFrench-language works237,207