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Record W2604512105

The 2008 BFA Graduating Class Department of Visual Arts

2008· article· en· W2604512105 on OpenAlexaboutno aff
Gabriola Amador, Jonathan S. Green, Sandra Edmonds Crewe, Stephanie Power, Jackie Sheppard Alcock, Craig Joseph, Jon Janes, Shannon Power, Mandi Coates, Jill Fogarty, Herb F. Gibbons, Jordan Bennett, John Thomas Warburton Foster, Matthew L.K. Noble, Krystin Parks, Nicole Wassing, Kimberly Walsh, Gill King, Erin Summers, Stephanie Ciz, Anastasia Brazil, Hillary Winter

Bibliographic record

VenueMemorial University Research Repository (Memorial University) · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicCultural Industries and Urban Development
Canadian institutionsnot available
Fundersnot available
KeywordsPassionsCraftVisual artsPaintingThe artsClass (philosophy)Fine artVisual arts educationWorld classSociologyArtEngineeringLiterature
DOInot available

Abstract

fetched live from OpenAlex

The Division of Fine Arts is 20 years old and the Class of 2008 is our 17th graduating class. Over these past 17 years our Visual Arts graduates have established careers as painters, printmakers, photographers, film makers, sculptors and new media artists, here in Newfoundland and Labrador, across Canada and around the world. Others have gone on to graduate school or taken degrees in education, and are now teaching a new generation of artists-to-be who will emerge in a 21st-centruy world of new media, new critical theories and new opportunities to create art of the future. The imagination, craft, technical expertise and personal and social passions displayed by this year's graduates is a testament to the education they have received over the past few years, and a prediction of the promise that lies ahead for all of them.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.296
Threshold uncertainty score0.992

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.001
Scholarly communication0.0030.001
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.2960.102

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 head0.079
GPT teacher head0.304
Teacher spread0.225 · 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
Published2008
Admission routes1
Has abstractyes

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