From TT to T.O.: second generation identities in the Caribbean diaspora
Bibliographic record
Abstract
The diasporic and transnational construction of identities by migrants who make "home" in a new land has increasingly been the focus of interest and study by academics. However, the construction of identities by the offspring of these migrants---the second generation---has often been overlooked in the scholarship. Being born and/or raised in the diaspora, the experiences of identity among second generation experiences are very diverse, sometimes markedly different from the first generation's, and at other times echoing the first generation's sentiments of a longing for "home", nostalgia, and alienation. In this study, I examine identities and identity-making among second generation people who are of Trinidadian descent living in Toronto. I combine in-depth interviews with key individuals along with textual analysis of "sites" in which identity is performed and expressed: Caribana, soca fetes, websites, literature, as well as the consumption of music, food and clothes. My objective is to address the complexities of identity formation and negotiation in a multicultural yet white-dominant society such as Toronto. The study explores why and how certain individuals may choose to maintain and cultivate a distinct "Trinidadian" identity in a locale far-removed from Trinidad, while attending to the range of meanings they attach to being "Trini". I argue that new forms of creolization that are occurring among second generation people in the diaspora, a continuation of a tradition fostered in the Caribbean experiences of colonialism, slavery, indentureship and newer postcolonial trans-nationalisms.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.005 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".