“The Least I Could Do is Get That Four-Year Degree That They Sacrificed so Much for” Undocumented Latina/o Families and the College Navigation Process
Bibliographic record
Abstract
Undocumented students face significant barriers in accessing postsecondary education. Previous research has focused on how individuals and schools impacted their experiences of enrolling in college. This critical qualitative study of testimonios with 15 undocumented Latina/o students examines how their families shaped and supported their college navigation process. Using a funds of knowledge framework, we find that parents and siblings shaped undocumented students’ college choices through dichos, or culturally situated advice. Once students attended college, many expressed a desire to give back to their parents and inspire other family members to pursue college. Students also articulated the utility of their degree as an avenue to give back to their local communities. We discuss the need for institutions to honor the collectivist orientation of Latina/o/x students and their families through recruitment and engagement efforts with these students.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".