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
1957–1961 Studium der englischen Literatur in Toronto; 1961 erster Gedichtband; seit 1964 Forschungs- und Lehrtätigkeit an verschiedenen kanadischen Universitäten; soziales Engagement, z. B. für Amnesty International; 1969 Veröffentlichung ihres ersten Romans The Edible Woman; seither zahlreiche weitere Gedichtbände, Kurzgeschichten, Romane, Fernseh- und Rundfunkbeiträge sowie literaturkritische Abhandlungen; ihr mit etlichen Preisen ausgezeichnetes Werk verbindet feministische, nationale und geschichtsrevisionistische Belange mit formaler Experimentierfreudigkeit; gilt als wichtigste Vertreterin der kanadischen Gegenwartsliteratur.
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.025 | 0.005 |
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