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Record W3026260855

Practicing Media—Mediating Practice | New Paradigm or Sensitizing Concept: Finding the Proper Place of Practice Theory in Media Studies

2020· article· en· W3026260855 on OpenAlexaff
Maria Bakardjieva

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicVisual Culture and Art Theory
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsAgency (philosophy)EpistemologyPractice theoryFoundation (evidence)ConstitutionSociologySocial mediaTheorySocial practiceMedia theoryEngineering ethicsComputer scienceSocial scienceLawMedia studiesPolitical science
DOInot available

Abstract

fetched live from OpenAlex

Numerous studies of media and communication processes employ the notion of practice under various working definitions. Recently, there has been growing interest and recurrent reference to a formal philosophical system developed by Theodore Schatzki and labeled “practice theory.” Some scholars have stated an alignment with Schatzki’s practice theory and suggested that its application in media studies marks a new “practice turn.” This article argues that before we decide whether to accept practice theory as the foundation of a new paradigm, we need to take a critical look at its powers and limitations and the ways in which its conceptual instruments need to be adjusted to effectively address the key questions asked in media studies. The article offers a critical assessment of some of the main premises of practice theory. It focuses specifically on what role this theory assigns to material entities and human agency in the constitution of social life. On that basis, it proposes ways in which practice theory could be put in a productive dialogue with other approaches in media 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)0.025
metaresearch head score (Gemma)0.030
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: Other · Consensus signal: Other
Teacher disagreement score0.025
Threshold uncertainty score0.131

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0250.030
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.004
Science and technology studies0.0070.127
Scholarly communication0.0230.034
Open science0.0030.010
Research integrity0.0070.008
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 head0.476
GPT teacher head0.562
Teacher spread0.086 · 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
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

Citations3
Published2020
Admission routes1
Has abstractyes

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