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Record W1853359050 · doi:10.1504/ijwbc.2008.019547

Genre, knowledge and digital code in web-based communities: an integrated theoretical framework for shaping digital discursive spaces

2008· article· en· W1853359050 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

VenueInternational Journal of Web Based Communities · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicWikis in Education and Collaboration
Canadian institutionsMcGill University
Fundersnot available
KeywordsVisionRhetorical questionCode (set theory)RhetoricSociologyFace (sociological concept)Computer scienceSpace (punctuation)Knowledge managementLinguisticsSocial science

Abstract

fetched live from OpenAlex

Emerging digital discursive spaces, such as wikis, offer new opportunities for knowledge communication. However, participants join such spaces through the lenses of their established discursive practices. These practices, however, interact with the code – the technological design – of these spaces, which can reproduce, question, or undermine them, and present alternative opportunities and visions for knowledge communication. Participants, therefore, ultimately face questions about the ways in which tensions between established (genred) practices and alternative practices enabled by code are to be negotiated. Drawing on theories of rhetoric and technology, this article offers an integrated theoretical framework that allows developers of online communities to examine the established rhetorical practices of participants and the ways in which the code of the discursive space may question or facilitate these practices. The paper then illustrates how this framework may be applied to facilitating academic knowledge communication in a wiki space and concludes with implications for decision-making in shaping digital discursive spaces for knowledge communication.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.575
Threshold uncertainty score0.774

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.049
GPT teacher head0.361
Teacher spread0.312 · 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