On the (Im)possibility of Canadian Celebrity
Bibliographic record
Abstract
This essay will examine the paradox of the celebrity Canadian as a marker of regional, national, and transnational modes of celebrity production and circulation, focusing particularly on questions of passing and/or mimicry. First, I will consider how Canadians have engaged in border crossings and the different strategies of assimilation/camouflage and differentiation they have used to locate Canadianness as part of their star identities (or not). In this I also consider what kinds of Canadian identities work (and how they work) in transnational star spaces; that is, which Canadian celebrity bodies have been able to engage in this kind of border crossing. Second, I will examine the paradoxical nature of the more rare creature: the Canadian celebrity at home. I consider why it is that these identities may be stopped at the border, and how they are recuperated to celebrity status within the nation. In both cases, I am interested in unpacking the Canadian celebrity as an uncanny marker of desire as they circulate within local, national, and transnational space.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.026 | 0.028 |
| Scholarly communication | 0.013 | 0.005 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.009 | 0.000 |
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.
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".