Book Review of Downing, Antonio Michael. (2021). Saga Boy: My Life of Blackness and Becoming. New York: Viking Press.
Bibliographic record
Abstract
Antonio Michael Downing's book, "Saga Boy: My Life of Blackness and Becoming", is a memoir of a black Trinidadian's experience immigrating to Canada and his self-discovery towards his black identity and self.Downing's story is about overcoming abandonment and trauma while navigating Canada to discover himself and his identity.A significant element of Downing's becoming was family ties, particularly his bond with his Grandmother and parents.Music was fundamental to Downing's development during his harrowing trials and tribulations.Downing continually sought a feeling of belonging, which aided in developing his quest for identity.Downing was also a victim of generational trauma in the form of Saga Boy, in which he attempted to escape his legacy.For Downing to finally find his identity, he must accept himself and overcome his adversities.Relationships with family members are essential to Downing's journey in Canada and discovery of himself.Although he did not realize it initially, his Grandmother influenced and shaped his life through "her resilience, her songs, her wisdom, and her unquenchable spirit," which Downing held on to throughout his life (p.257).When his Grandmother passed away, his entire world altered in terms of geography and familial connections.Despite the problematic treks of his
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.007 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.063 | 0.039 |
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".