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Record W2595039132 · doi:10.1109/thms.2017.2664358

Guest Editorial Special Issue on Drawing and Handwriting Processing for User-Centered Systems

2017· editorial· en· W2595039132 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

VenueIEEE Transactions on Human-Machine Systems · 2017
Typeeditorial
Languageen
FieldComputer Science
TopicHand Gesture Recognition Systems
Canadian institutionsPolytechnique Montréal
Fundersnot available
KeywordsHandwritingFocus (optics)FrontierComputer scienceField (mathematics)Special sectionHuman–computer interactionData scienceArtificial intelligenceEngineeringHistory

Abstract

fetched live from OpenAlex

The papers in this special section focus on handwriting and drawing processes for user-centered systems. The papers provide a wide and updated overview of the frontier of research in the field of humancentered systems based on drawing and handwriting processing. Through the papers, some of the most relevant directions of further research are highlighted with specific attention to components related to human–machine interaction. The Guest Editors hope that this issue brings forth the importance of automated systems related to automatic processing of drawing and handwriting.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.208
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.000
Science and technology studies0.0030.000
Scholarly communication0.0050.001
Open science0.0020.000
Research integrity0.0020.002
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 head0.321
Teacher spread0.289 · 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