Generation X marks the spot on shifting Black Culture: What four GenX'ers did to activate and co-create a new kind of Caribbean-Canadian Culture in Toronto
Bibliographic record
Abstract
In African traditions, oral history enables stories to be passed on to future generations. In that spirit, this research/creation documents unwritten stories of “Generation X” individuals who were raised as Caribbean-Canadians in and around Toronto during the 1970s and 1980s. This diasporic group bore witness to a tumultuous era for Black people living in larger Canadian cities. While the stories of their parents are generally well preserved, Gen-X experiences and contributions to Canadian culture from this period are sparsely documented. This paper/project addresses this gap by producing a digital oral history that contributes to the ongoing theorization of diasporas. Drawing on archived material and live interviews, I produced an audio documentary based on the views, feelings, and experiences of research participants from this era. Blossoming before their accomplishments could be tracked via the internet, I show how they were pioneers in creating a new kind of Canadian.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.030 | 0.014 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".