Bringing College Classrooms to the Community: Promoting Post-Secondary Access for Low-Income Adults Through Neighbourhood-Based College Courses
Bibliographic record
Abstract
In this paper we utilize interview data to explore the workings of a college– community partnership program that delivers tuition-free, for-credit courses to low-income adult students in neighbourhood-based settings. Addressing the interplay of individual and structural barriers on the educational readiness of students, our findings explore how the program builds participants’ confidence and self-belief, and how the neighbourhood-based delivery model encourages their engagement with post-secondary education (PSE). We find that the value of embedding PSE capacity and resources in low-income communities lies not only in its potential to engage adult learners, but also in how it nurtures a greater sense of community integration and social inclusion. We conclude by suggesting that our study provides a useful foundation for institutions elsewhere aiming to recalibrate and extend their community outreach strategies when seeking to promote post-secondary access and engagement for low-income populations.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".