re:TO: Pursuing Urban Re-Imaginaries Through an Affected Ontological Inquiry into the Capitalocene In Toronto
Bibliographic record
Abstract
<p>This project embraces the more-than-human-turn by building upon two concepts, one from the environmental humanities and one from climate communications: from the environmental humanities, the Capitalocene thesis; and from climate communications, the localisation concept. These two theories are brought together in a praxis project utilizing walking and autoethnographic research methodologies in an affective, ontological inquiry into the researcher's experience of Capitalogenic climate change within her city, Toronto. The hypothesis states that disrupting everyday patterns of city life through critical sensory walking inquiry into place creates potential for localising Capitalogenic conditions, thereby further creating cognitive space to reimagine possibilities within her daily life in Toronto. Hypothesis is guided by three research questions - (1) How does the researcher, a Torontonian, perceive Capitalogenic climate change conditions within the city?, (2) Can walking research methodologies be used for reimagining urban realities during the Capitalocene?, and (3) Can walking-as-localising research be a means to inspire mitigation and adaptation efforts among other Torontonians? Documentation of autoethnographic processes on the website re-TOronto.com becomes a model for citizen walking research during Capitalogenic climate change in Toronto.</p>
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".