Staging an Olympic Myth: Democracy and the 2010 Vancouver Olympics
Bibliographic record
Abstract
My research examines how the discursive articulations of the Vancouver Olympics contributes to a spatial order, explored through a theoretical framework informed by Jacques Rancière’s political philosophy. Rancière (1999) explores politics as an aesthetic, spatial exercise, radically framed through equality. An Olympics case study, employing this theoretical frame, invites an emancipatory method to fill in the gap of the post-political literature and critically assess my research question: what is the status of democracy in Vancouver during the Games bidding and preparations phase? Interviews with Olympic volunteers, protestors, a city councillor, and organizing committee members have articulated the Games and urban image through themes of inevitability of the Olympic event, via aestheticization of particular neoliberalized transit infrastructure. This thesis interrogates the politics of neoliberalization in Vancouver, how urban space is (re)produced undemocratically, and discursively investigates how common-sense statements about the city are constituted through non-violent means and lack a disciplinary command.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.014 | 0.006 |
| Scholarly communication | 0.009 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 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".