Highland Lake Workshop Conversations about Critical Action
Bibliographic record
Abstract
On December 6, 2014, Engineering, Social Justice, and Peace (ESJP) co-hosted a one-day workshop with Critical Stage and the University of Western Australia titled “Conversations about Critical Action.” The workshop was hosted at the North American Cultural Lab in Highland Lake, New York. An interdisciplinary group of 14 participants from Australia, England, Canada, and the United States met, representing academics, artists, actors, directors, film-makers, activists, teachers and engineers whose common interest is in making a difference both individually and as a community.The conversation focused on critical reflections of past, present and future actions with the goal of enhancing social justice in discussing the workshop’s main theme: How might I be the person I would most like to be and contribute to making the world more socially just?Using an Open Space Technology format and Talking Circle processes with an interactive approach, the workshop participants developed self-organized sessions.
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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 | 0.009 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.028 | 0.008 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.002 | 0.020 |
| Research integrity | 0.005 | 0.010 |
| Insufficient payload (model declined to judge) | 0.036 | 0.003 |
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".