Bibliographic record
Abstract
The Fort York National Historic Site was chosen as the site of research to examine how tourist attractions are constructed through the use of certain images and narratives, which reflect existing socio-political power dynamics through the processes of selecting and excluding what is represented. Research into media representations of Fort York was first conducted on the websites of Fort York and the City of Toronto on May 15th and May 16th, 2018. Field observations were subsequently conducted at the Fort York National Historic Site on May 20th, 2018, from 3–5 p.m.; May 30th, 2018, from 2–4 p.m.; and June 2nd, 2018, from 3–5 p.m. The analysis illustrates how the social, cultural, and historical constructions of Fort York render Canada and Canadians as conceptually White spaces and bodies, thus reflecting how the Canadian settler state continues to normalize the erasure of Indigenous peoples, communities, identities, and cultures within the contemporary Canadian landscape. Application of queer Indigenous theories then helps to conceptualize how multiple uninterrupted strands of settler colonialism intersect to form a cohesive but variegated colonial continuum, or the tangible inertia of settler colonialism that self-perpetuates colonial heteronormativity. Queer Indigenous theories are thus argued to provide the framework through which colonized peoples can collectively dismantle the colonial continuum.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.013 | 0.005 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.032 | 0.002 |
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".