Academic Resilience: A Retrospective Study of Adults With Learning Difficulties
Bibliographic record
Abstract
This article reports qualitative analyses of two sets of retrospective interviews with adults with learning difficulties. The purpose of the study was to examine the high school experiences of these adults from a holistic perspective to understand possible factors that contributed to one group staying in school and the other group leaving school early. One set of interviews was conducted with adults who had returned to complete high school at an adult learning center (the late successful group). The second set of interviews was conducted with the early successful group, adults who had completed high school during adolescence. Interview questions focused on interests, friends, and general aspects of the high school experience. Analyses yielded three themes: intrapersonal support, interpersonal support, and institutional support. These data suggest that schools might act in a number of ways to counter the high rate of early leaving by adolescents with learning disabilities, including building strong teacher-student relationships, using students' interests to develop curricula and structured activities, and fostering a sense of purpose.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".