Bibliographic record
Abstract
“Rebirth” may also imply looking back at past historical moments with a new perspective, which for instance led Amitav Ghosh’s Sea of Poppies to be associated with Neo-Victorianism, and more precisely the “Neo-Victorian at sea” and a “global memory of the Victorian” (Elizabeth Ho). This panel will also discuss “renaissance” movements: can we consider that an indigenous literary renaissance has taken place in Canada, Australia or New Zealand? Has an increasing awareness of the need to protect the environment led to new literary practices and movements? The Renaissance involved the development of vernacular languages in literature; what has been the place of vernacular languages and oral literary practices in postcolonial literatures? Theory also evolves constantly: has postcolonial theory been renewed since the 1980s? In what ways?
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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.012 | 0.026 |
| Scholarly communication | 0.019 | 0.011 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.019 | 0.004 |
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".