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Record W2146543407 · doi:10.1177/1050651911400701

IText Revisited: The Continuing Interaction of Information Technology and Text

2011· article· en· W2146543407 on OpenAlexaff
Cheryl Geisler

Bibliographic record

VenueJournal of Business and Technical Communication · 2011
Typearticle
Languageen
FieldComputer Science
TopicDigital Communication and Language
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsComputer scienceLinguisticsSociologyKnowledge managementPhilosophy

Abstract

fetched live from OpenAlex

A decade ago, my colleagues and I (Geisler et al., 2001) published an IText manifesto in the Journal of Business and Technical Communication to call attention to the impact of information technologies with texts at their core. These ITexts, we claimed, represented ‘‘a new page in the story of the coevolution of humanity, culture, and technology,’’ promising to change both the nature of texts and their role in society. The manifesto arose out of discussions in May 2000 at the annual meeting of the Rhetoric Society of America on the future of research on text-making activities and how they affect and are affected by new information technologies. About 14 months later, the IText manifesto was published in the pages of this journal. Three years later, a special issue of JBTC illustrated ‘‘the ubiquity of IText’’ with articles on Web technologies, dictation, screen capture, and text visualization (Geisler, 2004).

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)0.016
metaresearch head score (Gemma)0.048
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.033
Threshold uncertainty score0.082

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0160.048
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0070.007
Science and technology studies0.0070.038
Scholarly communication0.0330.057
Open science0.0020.015
Research integrity0.0070.010
Insufficient payload (model declined to judge)0.0150.002

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 head0.018
GPT teacher head0.247
Teacher spread0.229 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations10
Published2011
Admission routes1
Has abstractyes

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