“Who Really Lives There?”: (Meta–)Tourism and the Canada Pavilion at Epcot
Bibliographic record
Abstract
At the Tourist Centers in Boston and Orlando AT THE TOURIST CENTER IN BOSTON, the speaker in Margaret Atwood's eponymous 1968 poem discovers a display that she immediately recognizes and yet, upon closer examination, finds almost unrecognizable. “There is my country under glass” (Atwood 1968, l. 1), the lyrical I exclaims when she notices the wall-sized “white relief- / map” (ll. 2–3) of Canada at the beginning of the poem, but the “10 blownup snapshots / one for each province” (ll. 5–6) that are placed next to the map show, at best, a carefully “arrange[d]” (l. 16) and “manufactured” (l. 24) version of “my country”—a version that is, in Valerie Broege's words, “practically unpopulated” and boasts of “a kind of sanitized natural splendour” (Broege 1981, 115). As she compares the pictures to her own lived experience in her homeland, the speaker's ironic comments register the various omissions in the display's idealized depiction of Canada: “I seem to remember people, / at least in the cities, also slush, / machines and assorted garbage” (ll.27–29). At the end of the poem, the speaker's critique of Canada's self-portrayal at the tourist center and her call for a more realistic depiction of her country culminate in a series of questions to the “unsuspecting window lady”: “Do you see nothing / watching you from under the water? // Was the sky ever that blue? // Who really lives there?” (ll. 40–43). Eighteen years after the publication of “At the Tourist Centre in Boston,” a Member of the Canadian House of Commons complained in a very similar manner about yet another representation of Canada at an American “tourist center.” On April 23, 1986, Mary Collins, the Member of Parliament from the riding of Capilano, British Columbia, addressed the following remarks to the Hon. Jack Murta, then Canada's Minister of State (Tourism): “[The Minister] and I have received many complaints about the Canadian Pavilion at the Epcot Centre at Disney World in Florida. It certainly does not reflect accurately our country or our people. What action is the Minister prepared to take to get Disney World to make some changes so that we can have a Canadian Pavilion which truly exhibits the beauty and grandeur which await potential tourists to our country?” (Canada 1986, 12571).
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.021 | 0.014 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.010 | 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".