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2021· article· en· W4392423787 on OpenAlexaboutno aff
Vasile Trif

Bibliographic record

VenueRevue Possibles · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicContemporary art, education, critique
Canadian institutionsnot available
Fundersnot available
KeywordsImmersion (mathematics)MathematicsPure mathematics

Abstract

fetched live from OpenAlex

Notice biographiqueNé à Baia Mare, dans le nord de la Roumanie, Vasile Trif prend directement contact avec le monde des couleurs et des toiles dans l'atelier de son père, sculpteur et collectionneur d'objets d'art : « Il amenait des pots en céramique, des assiettes, des cruches en argile, et moi, je les lavais et les nettoyais de la fumée et de la suie.» En 2002, il publie un recueil de poèmes, Le fils prodigue, aux éditions Risoprint, à Cluj-Napoca.En 2003 et 2004, il aide son père à peindre une église construite en bois dans le Maramures.Avec en main une maîtrise en théologie de l'Université Babes-Bolyai à Cluj-Napoca (Roumanie) et un baccalauréat en travail social à l'UQÀM, il fait à Montréal la rencontre propice d'Aura Chiriac et de Vladimir Midvichi, qui dirigent l'Atelier d'arts anciens Valuarda situé au Centre Emmaüs.Il présente des icônes sur verre en 2015 à l'exposition collective Icône, à la rencontre de l'invisible, organisée en collaboration avec le Musée des métiers d'art du Québec (MUMAQ).Le 19 novembre 2019, Vasile Trif donne sa première exposition personnelle, qui comprend 50 oeuvres en aquarelle, technique mixte, linogravure et collagraphie.« Dans un monde ultra-connecté, dominé par la vitesse fulgurante de l'information et par l'éphémérité et le consumérisme de l'image, l'image sacrée qu'est l'icône peut apporter l'équilibre et la guérison de notre oeil intérieur.»

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)0.004
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 score0.656
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0040.002
Scholarly communication0.0080.005
Open science0.0020.006
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.6560.399

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 head0.037
GPT teacher head0.330
Teacher spread0.293 · 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".

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Citations0
Published2021
Admission routes1
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