Bibliographic record
Abstract
Invented in Italy in the fourteenth century, sonnets in English first appeared with the early sixteenth century efforts of Sir Thomas Wyatt and Henry Howard, Earl of Surrey. Though the sonnet’s popularity may have peaked with the renowned sequences of Sidney, Spenser, and Shakespeare, variations of its form have since been used to memorable effect by poets from Wordsworth to Barrett Browning to Yeats. More recently, Canadian poet and Dalhousie alumnus George Elliott Clarke offered another memorable take on a very old form. In the following essay on poetic voice in “Blank Sonnet,” Adam Cameron brings to light many of the ways Clarke’s pointedly unrhymed poem attests to its author’s resistance to the tradition the sonnet represents. In the process of inflecting that tradition, however, the poet cannot escape the “white voice” that contrasts and conflicts with the “speaker’s blackness.” In a reading of form and content admirable for its depth, breadth, and rigour, the essay makes clear that “every dark corner” of Clarke’s inscrutable work yet “gleams with the speaker’s struggle.” Writing within while longing to escape the constraints of what may be that tradition’s most representative form, the poet reminds us that users of language are also – and inevitably – shaped by the ideologies that give it form. Dr. Lyn Bennett
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.004 | 0.013 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".