Bibliographic record
Abstract
Research Article| November 01 2022 “Breaking and Entering the Colonial Archive” m. nourbeSe philip; m. nourbeSe philip Born in Tobago, m. nourbeSe philip, a former lawyer, is an unembedded poet and writer. Best known for her genre-breaking book-length epic, Zong!, she is the 2020 recipient of PEN/Nabokov Award and the 2021 recipient of the Canada Council Arts Molson Prize. Search for other works by this author on: This Site Google Simona Bertacco Simona Bertacco Simona Bertacco is professor of postcolonial and translation studies at the University of Louisville. She worked previously as a ricercatrice at the University of Milan, in Italy. Her research focuses on postcolonial literatures, gender and translation studies. Her most recent publications include: Time, Space, Matter in Translation, coedited with P. Beattie and T. Soldat-Jaffe (Routledge 2022); The Relocation of Culture: Translations, Migrations, Borders, with N. Vallorani (Bloomsbury 2021); and the special issue of The New Centennial Review: Translation and the Global Humanities (vol. 16, no. 1, 2016). Search for other works by this author on: This Site Google CR: The New Centennial Review (2022) 22 (3): 13–35. https://doi.org/10.14321/crnewcentrevi.22.3.0013 Cite Icon Cite Share Icon Share Facebook Twitter LinkedIn MailTo Permissions Search Site Citation m. nourbeSe philip, Simona Bertacco; “Breaking and Entering the Colonial Archive”. CR: The New Centennial Review 1 November 2022; 22 (3): 13–35. doi: https://doi.org/10.14321/crnewcentrevi.22.3.0013 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 CollectiveMichigan State University PressCR: The New Centennial Review Search Advanced Search 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.
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 | 0.005 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.005 | 0.008 |
| Scholarly communication | 0.012 | 0.010 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.036 | 0.013 |
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".