Bibliographic record
Abstract
In the sharp frosty winds of the morning of January 9th, 2019, Indigenous activist group Idle no More and their allies shut down the Bloor Viaduct, a well-used truss arch bridge in Tkaronto, Ontario, Kanata (Three Fire Territories) that connects the city’s east-side to its downtown core. The action took place during rush hour in solidarity with the Wet’suwet’en First Nation. The Canadian government was once again violating unceded land by mobilizing armed federal law enforcement to forcibly remove the nation from their land in order to build a gas pipeline. In response to this violence, allies throughout the city, myself among them, decided to show Tkaronto that it was not business as usual by bringing traffic on the Viaduct to a halt. Importantly, the bridge looms over the Don River. Reclamation of this space was therefore a reminder of the sanctity of water, gesturing to the fact that it is a privilege to be able to access clean water, while also reminding us of the threat of contamination posed by the pipelines’ development. As the day came to an end and the sun retreated, cycling through its farewell hues of yellow and orange, the elders began to sing. We round danced, our bodies flowing as one like the river beneath us. Our melodic voices of hope and mourning, joining the gusts of wind that whistled between the bridge supports. After the protest, we continued to chant as we walked back, fists raised with the awareness that, although this action was over, our spirits had been rekindled for the next one. This photo essay seeks to echo the calls of resistance of that day. I capture the warm hopeful tones of the sunset in an otherwise frigid colour scheme, while using wide angles to capture the scope of attendance, and a low depth of field to center the role of femme-identifying water protectors in the movement.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.008 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.057 | 0.016 |
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".