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
Praise for Breaking Canadians"These unique voices tell stories from the home, the schools, and the bedsides chronicling a litany of suffering, neglect, and outright public health negligence.Breaking Canadians is a rallying call to ensure we fix what is broken in our public health care system."Cathy Crowe, long-time street nurse, C.M."The story of Canada's experience with -and response to -COVID-19 is only now starting to be written.Every one of us has a valid perspective.But the recollections of those prominently on the front lines of medical treatment, outbreak management, patient advocacy, and public engagement are, to my mind, the most useful.Breaking Canadians is a collection of perspectives from prominent Canadian patient advocates whose names became well known during the pandemic.The essays are not dry academic expositions, but rather personal evocations embracing a host of accessible emotions -most commonly frustration and disappointment.But sprinkled here and there are seeds of hope, as kernels of policy insight also emerge to answer that all important question: what do we do next?"
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 | 0.000 |
| 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) | 0.008 | 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