MétaCan
Menu
Back to cohort
Record W7111944239

Shuvinai Ashoona : Life and Work

2019· book· en· W7111944239 on OpenAlexaboutno aff

Bibliographic record

VenueE-Artexte (Artexte) · 2019
Typebook
Languageen
FieldArts and Humanities
TopicArt, Technology, and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsMythologyCousinPencil (optics)Natural (archaeology)Work (physics)Intersection (aeronautics)Representation (politics)
DOInot available

Abstract

fetched live from OpenAlex

"Born in Kinngait (Cape Dorset) in 1961, Shuvinai Ashoona is now one of Canada’s most notable artists, whose work has been celebrated domestically as well as in Australia, Europe, and the United States. Her highly imaginative work combines aspects of traditional Inuit culture and mythology with influences derived from the non-Arctic world. Hailing from a long line of graphic artists, including her grandmother Pitseolak Ashoona (c. 1904–1983) and her award-winning cousin Annie Pootoogook (1969–2016), Shuvinai took up the mantel in the mid-1990s, producing detailed, primarily monochromatic drawings that depict the natural landscapes and traditions of the North. However, her attentions soon shifted to fantastical creatures, dreamlike landscapes, and aerial-perspective representations of a global community, expressed in vivid colour. Shuvinai Ashoona: Life & Work delves into the world of an artist whose rich graphic imagery conveys an intricate and textured personal vision. Using coloured pencil and pen and ink to render dense, highly imaginative drawings, Shuvinai creates art that reflects the intersection of values between the traditional and the contemporary in the North." -- Distributor's website.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.051
Threshold uncertainty score0.163

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0060.001
Scholarly communication0.0030.002
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0490.008

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 head0.206
Teacher spread0.188 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueE-Artexte (Artexte)Same topicArt, Technology, and CultureFrench-language works237,207