Bibliographic record
Abstract
What do the Madagascan Poinciana tree, the South American Bougainvillea bush, and the Australian Casuarina pine have in common with 300,000 people of primarily West African descent?\nFirstly, they all contribute to making the Bahamas what it is—paradise.\nSecondly, they are all well-adjusted aliens; bright, buoyant, beautiful immigrants so well entrenched in Bahamian land, soil, and ways that one might assume they had been in the country for thousands of years.\nThis is preferable. Witness the jaunty effervescence of the tourism jingle 'It's Better in the Bahamas'. As a nation whose livelihood is dependant on the appearance of bliss, it is clearly beneficial to perpetuate the concept of cheery, carefree natives—be they brown of skin or red of flower. Bahamians, it may be said, are like rows of crimson royal Poinciana arching to canopy across a Nassau avenue, like gardens brimming full with peach and fuchsia Bougainvillea, like lines of shore-shading Casuarinas; resplendent beings magnificently entrenched in the land.\nGardening explores the identities of these allegedly well-adjusted aliens, both human and botanic. This means celebrating the Poinciana's fiery summertime blooms. This means dipping into the dirt exposed when said Poinciana is toppled, post-hurricane, its root system too weakly joined to the land's thin and rocky soil to withstand strong storm winds.\nIf Bahamian people are like the plants that surround them, what are we to take from the Casuarina pine, an invasive import currently colonizing the island coastlines? And what from the national tree, Lignum Vitae, now virtually unknown?\nGardening, through poetry and short fiction, explores the beauty and madness of what are currently considered Bahamian people and plants. This exploration is both explicit and indirect; some pieces ponder the significance of intermittently beautiful and fragile lives. Others seek to capture the incongruity of identity, classification, and everyday life in a land where the concept of indigenity is an enormous fraud.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.659 | 0.430 |
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".