MétaCan
Menu
Back to cohort
Record W2772491291 · doi:10.31468/cjsdwr.612

Lamberti, A. P. & Richards, A.R. (Eds.). (2011). Complex Worlds: Digital Culture, Rhetoric and Professional Communication. Amityville, NY: Baywood Publishing.

2017· article· en· W2772491291 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.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueDiscourse and Writing/Rédactologie · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicInformation Society and Technology Trends
Canadian institutionsUniversity of the Fraser Valley
Fundersnot available
KeywordsRhetoricTransformative learningPublishingSet (abstract data type)Divergence (linguistics)SociologyDigital cultureMedia studiesComputer scienceArtPhilosophyLiteratureTheology

Abstract

fetched live from OpenAlex

In Complex Worlds, editors Adrienne P. Lamberti and Anne R. Richards have set themselves a challenging task: to bring together a coherent set of perspectives relating to digital culture while promoting an open-ended flexibility suggested by their preferred term, “digital divergence” (p. 2). The volume’s title evokes the issue confronting academics and professionals: to comprehend not one, but multiple worlds – each complex, evolving and interacting with one another in unexpected and unpredictable ways. In response to this “multifaceted and heterogenous…digital era we are all attempting to navigate” (p. 2), Lamberti and Richards have collected eleven papers that offer multiple lines of inquiry and methodologies in an effort to understand aspects of the transformative nature of digital technology.

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 categoriesScience and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.618
Threshold uncertainty score0.999

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 studies0.0050.002
Scholarly communication0.0020.004
Open science0.0010.001
Research integrity0.0000.001
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 head0.112
GPT teacher head0.419
Teacher spread0.307 · 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