Role model moms post-secondary academy: A university–community collaboration to encourage access to postsecondary for marginalized women
Bibliographic record
Abstract
The Role Model Moms (RMM) program supports low-income mothers completing their General Equivalency Diplomas. Postsecondary education (PSE) can break cycles of intergenerational poverty; however, existing PSE orientation resources were not designed for this group. A need existed for a new university resource utilizing a collaborative and community-engagement approach to provide tailored information on PSE for RMM participants. The RMM Post-Secondary Academy was developed to bridge this gap. It was evaluated via facilitator debriefing sessions, post-event surveys, and participant interviews, with results analyzed using basic statistics and descriptive thematic analysis. The event has run for three iterations, inviting 42, 45, and 38 women, respectively. Participants improved their understanding of and outlook on PSE. Their PSE concerns included family, financial, and academic barriers. This event provides a replicable model for responsive and cost-effective community programming. Community engagement ensured the content was relevant and applicable to the target audience.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.009 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.018 | 0.002 |
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".