Rising Together Webinar 5 Anti Oppression and the Green Economy
Bibliographic record
Abstract
This is the fourth of six recorded webinars in the series RISING TOGETHER - Women for a Just Economy. This webinar, held on 21 October 2020, examines the connection between Anti-Oppression and the Green Economy and discusses strategies to build an green economy that leaves no one behind.\nWebinar line up:\nANTI-OPPRESSION AND THE GREEN ECONOMY\nHosts: Fay Faraday and Jan Borowy (Equal Pay Coalition co-chairs)\nModerator: Sheetal Lodhia\nSpeakers:\nEllen Gabriel, Indigenous human rights and environmental activist\nHarsha Walia, activist & BC Civil Liberties Association ED\nPatricia Chong, Asian Canadian Labour Alliance\nLylou Sehili, La Coalition étudiante pour un virage environnemental et social (CEVES)\nMeg Gingrich, Researcher, United Steelworkers
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".