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Record W4246669272 · doi:10.1108/s0733-558x201754a

Multimodality, Meaning, and Institutions

2017· book· en· W4246669272 on OpenAlexfundno aff
Markus A. Höllerer, Thibault Daudigeos, Dennis Jancsary

Bibliographic record

Venuenot available
Typebook
Languageen
FieldArts and Humanities
TopicDiscourse Analysis in Language Studies
Canadian institutionsnot available
FundersUniversité de Recherche Paris Sciences et LettresCopenhagen Business SchoolUniversitetet i OsloHebrew University of JerusalemUniversity of New South WalesLakehead University
KeywordsMultimodalityMeaning (existential)LinguisticsComputer sciencePhilosophyEpistemology

Abstract

fetched live from OpenAlex

The insight that institutions, and the communicative practices that create, sustain, and challenge them, are multimodal accomplishments has garnered increasing attention from scholars in organization and management research over the last decade. Traditional understanding of social knowledge and meaning as being constituted primarily through verbal discourse has been challenged and extended by work that has promoted the centrality of visual, material, and other sign systems (e.g., audio, gestures, layout) for constructing social reality. While some discursive approaches to organizations and institutions have acknowledged the existence and relevance of modes other than the verbal for some time, systematic research on multimodality has remained rather sparse. In particular, the interaction and orchestration of multiple modes remains terra incognita with considerable empirical, methodological, and theoretical stakes. Together, 54A and 54B of Research in the Sociology of Organizations investigate these issues with innovative research that focuses on the relationship between different modes in the emergence, diffusion, maintenance, and challenge of social meanings and institutions. Individual contributions demonstrate the potential of multimodal approaches to rejuvenate and extend the study of institutions, they revisit research on classic phenomena in organization theory through a multimodal lens, and advance the design of relevant and rigorous methods of analysis for the study of multimodal communicative practices

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 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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.770
Threshold uncertainty score0.995

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 studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.000

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 head0.085
GPT teacher head0.320
Teacher spread0.235 · 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 teacher head, not a consensus.

Study designNot applicable
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".

Quick stats

Citations10
Published2017
Admission routes1
Has abstractyes

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