Rewriting the Modern: Reflections on Race, Nation, and the Death of a Department Store
Bibliographic record
Abstract
ON FEBRUARY 27, 1997, Eatons department store a Canadian shopping institution for over 125 years dropped a bombshell on the nation. Store president George Eaton announced that the retailer was seeking bankruptcy protection. The story was front-page news everywhere in the country and generated rivers of sentimental and nostalgic stories complete with crying customers recalling the good old days of Christmas windows, enormous catalogues, and full dinners that could be had for a buck in the Eatons College Street dining room. Shoppers, meanwhile, were voting with their feet. They may have been tearful about Eatons when journalists were around, but they were buying elsewhere, most likely in the American retailing successes like The Gap, Wal-Mart, and Banana Republic that have invaded Canada in the last several years. The final collapse of the Eaton empire in the fall of 1999 generated another round of newspaper commentary on the causes of the stores demise, much sharing of heartwarming personal anecdote, and a deluge of letters to editors everywhere. One traumatized Toronto Star reader, upset about a feature on sex aids that appeared about the same time, wrote:
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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 | 0.005 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.098 | 0.075 |
| Scholarly communication | 0.018 | 0.010 |
| Open science | 0.003 | 0.009 |
| Research integrity | 0.008 | 0.016 |
| Insufficient payload (model declined to judge) | 0.012 | 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".