Beyond the Headlines: Learning from the Historic Alberta Election
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Alberta's historic election results call for analysis and discussion.\n\nThe Broadbent Institute and the SFU School of Public Policy presented: Beyond the Headlines: Learning about Alberta's Historic Election.\n\nThe panel discussion of politicos and campaigners discussed what happened in the election that ended 44 years of Progressive Conservative Party rule of Alberta -- and how that shift led to an NDP majority.\n\nPanelists:\nGerry Scott, Alberta NDP campaign director\nKerry Towle, former Wildrose and PC MLA, Innisfail-Sylvan Lake \nMike McDonald, Principal, Rosedeer Strategies Inc., and Campaign Director, BC Liberal 2013 election\nAnne McGrath, National Director, New Democratic Party of Canada
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.
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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it