"I Too Am Not a Bit Tamed":1 Flora, Fauna, and Folk Culture in Olive Senior's Over the Roofs of the World
Bibliographic record
Abstract
Olive Senior's poetic sensibility is one deeply in tune with the pro found rhythms of a global dynamic, an observation that is startlingly apparent in her most recent book of poetry, Over the Roofs of the World. Although Senior has spent a significant portion of her adult life as a Canadian resident, it is clear that her creative imagination is still most strongly influenced by the flora, fauna, and folk culture of Jamaica. However, Senior's poetry also reminds the reader that Jamai can culture is one that has historically conversed with a panorama of influences, as is evident from the conversations that emerge through her engagement with the work of writers such as Walt Whitman, Pablo Neruda, Daniel Defoe, William Shakespeare, and Wallace Stevens. The result is a collection that reflects a perspective simultaneously sweeping and intimate; Senior imagines and reimagines the astonish ing beauty present even in the most mundane of symbols. Like Senior s Gardening in the Tropics (1994), the thematic roots of this third collection of poetry often draw from the rich soil of the Caribbean landscape and environment. Nothing in the landscape Senior imagines reflects a static, Edenic paradise; rather, she weaves together visions of a natural world in constant relation with the world of humanity preoccupied with conquest, ancestry, folk culture, history, sex, music, and the afterlife. The two worlds dance together—
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.006 | 0.005 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".