Bibliographic record
Abstract
Velma Pollard and Erna Brodber, two sister-writers born and raised in Jamaica, recreate imagined and lived homelands in their literature by commemorating the history, culture, and religion of the Caribbean. Velma Pollard was born in St. Catherine, Jamaica; by the time Velma Pollard was three, her parents had moved to Woodside, St. Mary, in northeast Jamaica, where her sister, Erna Brodber was born. They write about their homeland in a series of memories and stories of that lived and imagined experience in their many works: fictional, nonfictional, and poetic. They center on their home village, but occasionally move the settings of their writings to other regions of Jamaica and various Caribbean islands, as well as to other parts of the African diaspora in the United States, Canada, and England. The role of women in the patriarchal society of Jamaica and much of the Caribbean is also a subject of the sisters’ writing. Growing up in what Erna Brodber calls the kumbla , the protective but restrictive environment of many women in the Anglo-Caribbean, is also an important theme in their works. In her fiction, Velma Pollard discusses the gender gaps in employment and the demands of marriage and the special contributions of women to family and community. This study examines Erna Brodber’s work on a par with her sister Velma Pollard’s writing and is the first to do so, drawing upon original interviews.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.003 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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".