Entangled Genealogies: White Femininity on the Threshold of Change in Andrea Levy's Small Island
Bibliographic record
Abstract
Isolation is the hallmark of male migrant narratives of 1950s London. Consider V. S. Naipaul's depiction of the city as a “conglomeration of private cells” (The Mimic Men 22); or George Lamming's image of embittered black nightclub owners who, believing they “have no people” in the metropolis, violently force new migrants who arrive in search of lodging out into the street's lonely “cul-de-sac” (The Emigrants 278–81).1 Andrea Levy's historical novel Small Island (2004) brings into view what her predecessors saw in rare glimpses, but ultimately judged next to impossible in postwar Britain: possibilities for intimacy, community, and a multiracial future. Writing as the daughter of Jamaican-born parents (her father landed at Tilbury, UK on the SS Empire Windrush in 1948), Levy premises Small Island's account of the postwar period on a concept of encounter gleaned from conversations with her mother: Immigration is a very complex process – it doesn't just change the people who come, it changes the people they come to … . Whenever my mother spoke about coming to this country, she always spoke about the white people she met too. I am fascinated by the point of contact where two ways of viewing things, black and white, meet. (“After the Windrush” 23)
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.015 | 0.018 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.009 | 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".