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
Research Article| December 01 2011 Hating Criseyde:Last Words on a Heroine from Chaucer to Henryson Jamie C. Fumo Jamie C. Fumo McGill University, Montreal, Quebec Search for other works by this author on: This Site Google The Chaucer Review (2011) 46 (1-2): 20–38. https://doi.org/10.5325/chaucerrev.46.1_2.0020 Cite Icon Cite Share Icon Share Twitter Permissions Search Site Citation Jamie C. Fumo; Hating Criseyde:Last Words on a Heroine from Chaucer to Henryson. The Chaucer Review 1 December 2011; 46 (1-2): 20–38. doi: https://doi.org/10.5325/chaucerrev.46.1_2.0020 Download citation file: Zotero Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All Scholarly Publishing CollectivePenn State University PressThe Chaucer Review Search Advanced Search The text of this article is only available as a PDF. Copyright © 2011 by The Pennsylvania State University. All rights reserved.2011The Pennsylvania State University Article PDF first page preview Close Modal You do not currently have access to this content.
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) | 0.019 | 0.001 |
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