MétaCan
Menu
Back to cohort
Record W4306408314 · doi:10.1386/public_00121_1

We’re waving hands! Creating a graphic novel in Quebec Sign Language

2022· article· en· W4306408314 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenuePublic · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicLinguistics and Discourse Analysis
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsSign languageAgency (philosophy)Inscribed figureSign (mathematics)American Sign LanguageLinguisticsSociologyQueerSign systemPsychologyCommunicationGender studies

Abstract

fetched live from OpenAlex

Véro Leduc has spent many years involved in different social causes such as queer, sex worker and feminist movements, promoting their voices on public places. When she arrived in the Deaf community, she wanted to produce a graphic novel so that Deaf folks could wave hands to hearing people, to get their attention and consideration. Realizing Quebec Sign Language is an embodied language for which there is no systematic writing, she spent a couple insomniac nights trying to figure out how to write this language. If writing—an act through which language is inscribed on a medium—is capable of communicating, reflecting upon, debating, citing, remembering, and translating knowledge, what kind of writing is needed for signed knowledge to exist? This chapter relates her journey of creating a graphic novel in Quebec Sign Language and her reflections on the agency digital media are offering for Deaf and signed epistemologies.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.877
Threshold uncertainty score0.993

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0080.000

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 head0.046
GPT teacher head0.256
Teacher spread0.210 · 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