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Record W1943032647 · doi:10.22230/src.2014v5n2a146

Re/collections: From Books to Blogs

2014· article· en· W1943032647 on OpenAlexvenueno aff
Ethna Dempsey Lay

Bibliographic record

VenueScholarly and Research Communication · 2014
Typearticle
Languageen
FieldArts and Humanities
TopicLiteracy, Media, and Education
Canadian institutionsnot available
Fundersnot available
KeywordsOralityTextualityLiteracyScholarshipConversationMeaning (existential)KinshipScholarly communicationMedia studiesSociologyLiteratureLinguisticsHistoryArtAnthropologyPsychologyPolitical sciencePedagogyCommunicationPhilosophy

Abstract

fetched live from OpenAlex

This study considers the contemporary post-literacy moment and its kinship to the historical change from Anglo-Saxon orality to English literacy, by suggesting a parallel between the scholarship of Walter Ong and the new media scholar Lev Manovich. Their perspectives on communication and textuality inform the conversation about how contemporary first-year writers make meaning. Student writers exhibit remix as a kind of new orality, some sequel to literacy. This notion speaks to the students’ orientation as digital composers, for whom the written word has been displaced as the primary way to present knowledge. Primary data is drawn from student invention blogs.

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)0.001
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.988
Threshold uncertainty score0.149

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0070.010
Science and technology studies0.0020.002
Scholarly communication0.0120.013
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0450.019

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 head0.119
GPT teacher head0.358
Teacher spread0.239 · 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.

Study designNot applicable
Domainnot available
GenreEmpirical

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

Citations0
Published2014
Admission routes1
Has abstractyes

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