Althea Prince's "Loving this Man": an intersectional approach to migration, gender and race politics
Bibliographic record
Abstract
This article provides an intersectional analysis of Loving this Man (2001), the first novel published by Caribbean-Canadian writer and sociologist Althea Prince. The analysis approaches different aspects tackled in the novel, mostly connected to the complexity of the migration experience and to gender and race politics in the different contexts where the story is set, namely, an unnamed Caribbean country and Canada. Loving this Man revises the vital experience and the achievement of a sense of identity of Sayshelle, a young Caribbean woman who migrates to Canada at the end of her teenage years. An adult Sayshelle narrates her life, beginning with her childhood and early adolescence in the Caribbean to, in the second part of the novel, delve on her early youth experiences in Canada. Both periods and contexts are strongly influenced by gender and race politics: in the Caribbean because of the continuance of social structures inherited from colonialism and with a strong patriarchal component, and in Canada because Sayshelle arrives there precisely at the end of the 1960s, when the social mobilization of the Black population, as it happened in the US, gained strength and momentum. In definitive, the novel is structured following a traditional pattern of migration narratives (here vs. there), while migration remains the vital experience which articulates the tale and leads it towards its conclusion, when a mature Sayshelle is finally seen to have achieved a sense of identity and belonging.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.039 | 0.037 |
| Scholarly communication | 0.013 | 0.005 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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".