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Record W4401632457 · doi:10.22215/etd/2024-16134

ARTiculating Canadian Identities: The Canada Council Art Bank’s Mycelial Presence and Influence in the Realm of Canadian Fine Art

2024· dissertation· en· W4401632457 on OpenAlexafffundabout
Jacoba Krina Van Hoeve

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldArts and Humanities
TopicArt History and Market Analysis
Canadian institutionsCarleton University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsRealmExhibitionIdentity (music)RestructuringPhase (matter)MandatePolitical scienceArt historyArtAestheticsLaw

Abstract

fetched live from OpenAlex

Fifty years (1972 -2022) of the Canada Council Art Bank's history are examined in this thesis through circumstances surrounding the evolution of their collection and self-perceived identity.This thesis uses the model of a mycorrhizal network to describe the Art Bank as both fluid and responsive over three distinct phases, each encompassed by symbiotic relationships, a mixed mandate, and "working" artworks.Whereas Phase One (1972 -1999) is distinguished by ambitious expansions and subsequent disintegration, Phase Two (2000 -2015) is defined by the Art Bank's revival and strategic restructure.Phase Three (2016 -2022) concerns difficult cyclical histories that must be actively contended with in the present.Accompanied by case studies of exhibitions and data models, each phase considers the Art Bank's activities and operations through mycelial characteristics, demonstrating the intertwined, multilayered nature of identity.As in a fungal ecosystem, countless factors (in this case, people) contributed to the formation of this project.It is impossible to name everyone who supported my work, but I am thankful for everyone who did, and I hope our paths cross many more times in the future.I am beyond grateful for the guidance and kindness of my co-supervisors, Felicity Tayler and Ming Tiampo, throughout this project.I am also thankful to the other members of my examination committee (Anne Dymond, Michael Windover, and Mitchell Frank) for their time and care in reviewing and discussing my work.At the Art Bank, Amy Jenkins spent hours discussing ideas, writing emails, and completing other tasks to move this research forward.Her enthusiasm and dedication enabled this work in many ways.Martha Young provided a wealth of resources and was always eager to find elusive information.Many employees at the Art Bank and the broader Canada Council contributed their knowledge, expertise, and perspectives to this research, whether formally through interviews, or informally through our interactions.I fully enjoyed learning from and with the nineteen people I interviewed for this thesis.

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)0.004
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.234
Threshold uncertainty score0.888

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.004
Science and technology studies0.0460.021
Scholarly communication0.0170.004
Open science0.0020.007
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0090.000

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 head0.019
GPT teacher head0.191
Teacher spread0.172 · 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 designQualitative
Domainnot available
GenreEmpirical

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
Published2024
Admission routes3
Has abstractyes

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