Bibliographic record
Abstract
In this critical self-reflection, I situate the study of “Latino identity”, as well as questions of gender, ethnicity, and belonging to a nation-state by way of examining my family’s story of migration, reception, and acceptance into the United States. Through a careful weaving of various U.S. based sporting cultures, namely basketball (NBA), wrestling (WWF/WWE), and baseball (MLB), I “post up” on the importance of these sporting projects as sociocultural pedagogies to remind readers of the significant impact American sports and sports media collectively have in identity and ideological formations for young brown boys. Ultimately, I suggest it is necessary for both sport and non-sport fans alike to recount pasos críticos if we are to reconcile, re-imagine and create new narratives of manhood and masculinity for future generations. To this end, the essay offers a critical autobiographical reflection into a brown Latino boy’s journey as he strives towards a feminist, anti-racist masculinity, and why that must matter for the future brown boys if our individual and collective journeys will be theorized around, intended for, and committed to getting and staying free.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.021 |
| Scholarly communication | 0.010 | 0.014 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.021 | 0.006 |
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".