Workshop: Know the ledge we're on: from Accountability to Activist Research
Bibliographic record
Abstract
A CPCC sponsored workshop "Know the ledge we're on: from Accountability to Activist Research” will be hosted on Apr. 17, 2015 from 9:30 am to 5:30 pm in room HC2270 (SFU Vancouver). Please see the attached PDF for further details. The event is sponsored by FCATʼs Centre for Policy Studies on Culture & Communities, the Department of Sociology and Anthropology, the Office of the Associate Vice-President, External Relations (SFU), Office for Aboriginal Peoples (SFU), Faculty of Graduate Studies (SFU), Institute for Humanities (SFU), Vancity Office of Community Engagement, Institute for Performance Studies (SFU), Centre for Social Justice (Kwantlen Polytechnic University), Centre for Imaginative Ethnography.
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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 | 0.033 | 0.049 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.018 | 0.012 |
| Scholarly communication | 0.018 | 0.012 |
| Open science | 0.003 | 0.023 |
| Research integrity | 0.007 | 0.020 |
| Insufficient payload (model declined to judge) | 0.035 | 0.012 |
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".