Staking Claims and Cultivating Local Publics: The Billboards of the Canadian Museum for Human Rights
Bibliographic record
Abstract
This article examines a sign campaign posted by the Canadian Museum for Human Rights (2012–2014) in Winnipeg, Manitoba, and the Museum’s strategies for cultivating local publics at a time when its imposing exterior was under construction but its interior was not yet open to public view. Our study reveals that the Museum was more interested in constructing a façade of community goodwill than in responding to or engaging with particular publics and local concerns. Although our analysis concentrates on local details and contexts, it can inform other projects that examine the role of linguistic artifacts and discursive activities in place-forming and -making. We draw on rhetorical, visual, linguistic and critical museum studies to analyze this not-to-be-repeated formative time in a museum’s history, a discursive moment that is both ephemeral and enduring.
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 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.062 | 0.041 |
| Scholarly communication | 0.012 | 0.005 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.002 | 0.005 |
| 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".