Bibliographic record
Abstract
Abstract Dionne Brand's memoir, A Map to the Door of No Return: Notes to Belonging, touches on the author's childhood in Trinidad and adulthood in Canada but is equally concerned with understanding and intervening in the larger histories among which Brand situates her identity. A lush work of memories, poetry, and criticism, the work presents vignettes from the author's life alongside her meditations on writing, history, mapmaking, and most important for this essay, the archives. Brand's memoir is replete with supporting materials that range from ffteenth-century journals and letters to contemporary critical theory, from geographers' logs to films and pop culture. Her sources are rich and varied, and they can be broken down into three general types: the historical archives written during the “age of exploration” and the slave trade; the contemporary archives of newspapers and journals; and the creative archive of postcolonial writers, or what I am calling the neo-archive. Brand's memoir participates in an entire genre of postcolonial and in particular Caribbean literature that addresses the colonial archive. She thus provides a singular overview of the neo-archive by bringing many of these texts into dialogue with one another, and she explores as well the dialogue between such texts and the dozens of archival fragments she incorporates into her self-portrait.
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 | 0.016 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.014 | 0.022 |
| Scholarly communication | 0.021 | 0.020 |
| Open science | 0.003 | 0.023 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.018 | 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".