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Record W2183229849

Formatting Font Formats

2003· article· en· W2183229849 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

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicMathematics, Computing, and Information Processing
Canadian institutionsMcGill University
Fundersnot available
KeywordsFontHumanitiesComputer scienceWorld Wide WebArtArtificial intelligence
DOInot available

Abstract

fetched live from OpenAlex

Font formats are a tug of war between artists (designers and drawers), programmers (computer scientists), the business world, and users. Each of these four groups has had an influence on the paththatfontformatshavefollowed. Wereviewthesuccessesandfailures,andpresentawishlist of properties that a good font format should have. Résumé Les formats defontes ont depuis toujoursétéuntir à la cordeentreles artistes(graphistes et dessinateurs de fontes), les programmeurs (informaticiens), le monde des affaires et les utilisateurs. Chacun parmi ces groupes a influencé l’itinéraire historique que les formats de fonte ont suivi ces vingt dernièresannées. Nousallons,danscetteprésentation,revoirlessuccèsetleséchecsdesformatsdefonte,etnous allons présenter une liste de vœux des propriétés que nous considérons qu’un bon format de fonte devrait avoir.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.891
Threshold uncertainty score0.380

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 studies0.0000.000
Scholarly communication0.0000.002
Open science0.0000.000
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 head0.017
GPT teacher head0.238
Teacher spread0.221 · 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