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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".