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Record W4384214356 · doi:10.21832/9781788926577-fm

Frontmatter

2023· book-chapter· en· W4384214356 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

VenueMultilingual Matters eBooks · 2023
Typebook-chapter
Languageen
FieldSocial Sciences
TopicMedia, Communication, and Education
Canadian institutionsCarleton University
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

Questions about the relationships among language and other semiotic resources (such as image, film/video, sound) and knowledge production, participation and distribution are increasingly coming to the fore in the context of debates about globalisation, multilingualism, and new technologies. Much of the existing work published on knowledge production has focused on formal academic/scientific knowledge; this knowledge is beginning to be produced and communicated via a much wider range of genres, modes and media including, for example, blogs, wikis and Twitter feeds, which have created new ways of producing and communicating knowledge, as well as opening up new ways of participating. Fast-moving shifts in these domains prompt the need for this series which aims to explore facets of knowledge production including: what is counted as knowledge, how it is recognised and rewarded, and who has access to producing, distributing and using knowledge(s). One of the key aims of the series is to include work by scholars located outside the 'centre', and to include work written in innovative styles and formats.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.367
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.010

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 head0.080
GPT teacher head0.344
Teacher spread0.264 · 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