Climate Change, Youth and Jobs Institute: What will your future look like? - Video
Bibliographic record
Abstract
This video records a meeting on February 4th and 5th, when thirteen high school students from across the Greater Toronto Area came together at York University for the Climate Change, Youth, and Jobs Institute hosted by the Work in a Warming World (W3). Four half-day workshops were created and facilitated by York University Professors Steven Tufts and Dawn Bazely, and Matthew Carroll. \n \nThe first workshop titled Climate Science 101 provided students with a foundation of the evidence of climate change and analyzed the main climate change denial arguments using media from a variety of sources and perspectives. Professor Dawn Bazely and Matt Carroll addressed common questions such as how do we know the climate is really changing and how does peer reviewed science proceed in a doubtful political climate? \nThe second workshop titled Greening Workplaces began by introducing students to the concepts of the accumulation of wealth in the capitalist economic system. Professor Steven Tufts then led a discussion examining the term ‘green jobs’ and analyzed what it could look like to green all workplaces by facilitating a small-group exercise drawing on the work experience of the participants. \nThe third workshop invited students to critically analyze a variety of perspectives on climate change including various levels of climate deniers and responders to the climate crisis. This workshop concluded with the students discussing and crafting a vision and declaration of specific concerns for Climate Change, Youth, and Jobs for the future (view the Young Green Workers Charter). \nThe fourth and final workshop was a panel session including labour activist Winnie Ng, youth volunteer coordinator Hannah McKinnon, doctoral candidate James Nugent, and Greenpeace activist Steve Shallhorn on their views and experience working for progressive social and environmental change.
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.145 | 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".