An Artiture of Formerly Incarcerated Tongan Students in Community College
Bibliographic record
Abstract
This article is taken from my dissertation study that explored the lived experiences of three Tongan Americans, each of whom were incarcerated in juvenile hall and are now attending college as a part of a transition program into local community colleges. The study introduced a Tongan version of the school-prison nexus by highlighting the ways in which the education and the justice systems work to ignore the dual culture realities of Tongans living in the United States. Adopting and fusing Fa‘avae’s (2016) talanoa and Lawrence-Lightfoot and Davis’ (1997) portraiture methodologies, I co-created a new approach Artiture—in collaboration with Taniela Petelo, my cousin, a Tongan-based international artist—to explore the following question: What are the challenges Tongan students face when they attend college after being incarcerated in the juvenile justice system? Findings from this Artiture highlighted intersections of family, history, cultural obligations and expectations, and the impact on Tongan Americans who deal with what Vakalahi (2009) calls “dual culture” (pg. 1259).
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.032 | 0.019 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.002 | 0.011 |
| Research integrity | 0.002 | 0.007 |
| 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".