Bibliographic record
Abstract
John Thompson and Malcolm X may have more in common than coincidences in their respective biographical histories. Although generally overlooked as a political poet, Thompson, superb writer of the Tantramar, employs images of black and white, dark and light in his writings to engage with specific conceptions of race and imperialism – developed more explicitly in the theoretical work of Toni Morrison and Frantz Fanon – that informed the tumultuous political climate of his and X’s era. As a former student of psychology, the English-born, U.S.-educated Thompson would have been aware of the fundamental significance of blackness and whiteness in Western society, and many of his poems develop an idea of whiteness as a facade that works to obscure a primal or fundamental blackness. This exploration of the darker recesses of Thompson’s poetry draws him more clearly into the company of his primary influences, themselves all highly political writers: English-language poets Ezra Pound, William Butler Yeats, and Dylan Thomas; French poets Charles Baudelaire, Arthur Rimbaud, and Rene Char; and Quebecois poets Roland Giguere and Paul-Marie Lapointe.
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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.007 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".