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Record W2951299257 · doi:10.1386/eme.9.3.185_1

Digitally Augmented Books The sBook Platform for Books that are Smart, Readable, Searchable, Networked, Updatable, and Promote Active Reading

2010· article· en· W2951299257 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

VenueExplorations in Media Ecology · 2010
Typearticle
Languageen
FieldComputer Science
TopicLibrary Collection Development and Digital Resources
Canadian institutionsOntario College of Art and DesignUniversity of Toronto
Fundersnot available
KeywordsReading (process)Computer scienceWorld Wide WebMultimedia

Abstract

fetched live from OpenAlex

The sBook platform that provides for the convergence of the printed codex book (p-book) and the e-book is described. The sBook platform combines the advantages of both the p-book and the e-book and incorporates some additional features that make the book smart, social and a vehicle for “active reading”. We will describe a number of different forms of the sBook that can operate on the sBook platform we are proposing. We will describe the different applications and advantages of each of these forms. The implications for print on demand publishing for the sBook are also examined. The impact of the sBook platform on a number of sectors is identified including authors, readers, publishers, booksellers, libraries and schools. Finally a number of research questions for further study are formulated. This paper is not so much a report of research completed but rather a scoping out of the issues that combining the p-book and the e-book entail. It is a report of work in progress.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.454
Threshold uncertainty score0.612

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.003
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 head0.033
GPT teacher head0.239
Teacher spread0.205 · 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