Myth, identity and ableism: Jericho March becomes Canadian Marathon of Hope in the Freedom Convoy
Bibliographic record
Abstract
The aim and means of the Freedom Convoy are instructive for understanding how ableism is promoted in Canadian society today. As an example of such promotion, the author considers the Jericho March that took place during the Freedom Convoy Trucker Protest in Ottawa. The organizer of the Jericho March described the Convoy’s aim as an end to all public protections against the spread of COVID-19, and the discourse used by the organizer prior to the Convoy aligns with the kind of ableism that characterizes this general aim. The organizer’s description of the Jericho March as the Convoy participants’ ‘Marathon of Hope’ also aligns with other appropriations of Terry Fox’s iconography within the Freedom Convoy. After situating the Jericho March within more aggressive tactics used by Convoy participants, the author synthesizes theoretical perspectives from Fiona Campbell and Keiji Nishitani to think about what kind of Canadian identity the march promoted. From these considerations, it seems that myth can be used by individual organizers in Canada today to actively promote and perhaps even shift the boundaries of structural forms of oppression.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.033 | 0.056 |
| Scholarly communication | 0.010 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 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".