Bibliographic record
Abstract
This thesis examines four instances between 2002 and 2012 where Canadian artists have participated in international exhibitions: in all these cases the Canadian identity of the artists in question is de-emphasized, while a new global identity comes into play: David Altmejd at the 2003 Istanbul Biennial; Ingrid Bachmann at the 2012 Havana Biennial; Brian Jungen at the 2009 Basel Art Fair, and Gareth Moore at the 2012 dOCUMENTA exhibition in Kassel. This study interrogates the shifting meaning of “global art” at the present time, by evaluating the circumstances of these institutions and tracking the curatorial outlook, the artworks presented and the location and context of each global encounter. The theoretical approaches of contemporary thinkers such as Arjun Appadurai, Ali Behdad, Okwui Enwezor, Nikos Papastergiadis and John Ralston Saul provide a framework for thinking about the way the global has been positioned. The case studies identify how the global can be considered as a paradigm that expands beyond the easy opposition of global vs. local, or global vs. national, by considering instead the complex set of issues that arise when artists participate in global exhibitions. The global paradigm opens up the discourse of contemporary art to a multitude of possibilities for exchange and interaction.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.020 | 0.044 |
| Scholarly communication | 0.018 | 0.013 |
| Open science | 0.002 | 0.021 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.016 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".