Addressing Financial Barriers to Higher-Education
Why this work is in the frame
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Bibliographic record
Abstract
Many students choose not to pursue higher education due to its financial burden and the looming threat of debt that follows. However, 10 million dollars of scholarship money in Canada goes unclaimed each year due to a lack of applicants (Griffiths, 2022). Students who require financial assistance for higher education can only capitalize on the available scholarship money if they have the necessary skills to create successful applications (Hoff, 2013). Furthermore, the low-income students who will benefit the most from access to these resources often have to work part-time jobs after school, so they are unable to devote the necessary time to this process (Singh,1998). To address this barrier, we have developed an equitable, accessible module-based program that strives to connect the surplus of untapped scholarship money each year with students who desire to fund their pursuit of higher education. These modules will facilitate equitable access to higher education by fostering students' skills related to budgeting, financial planning, scholarship searching, and application writing and will be implemented directly in the high school curriculum. To facilitate their implementation and avoid any potential pitfalls, the modules would decrease the burden on educators, be accessible to students with disabilities, and include content-related to cybersecurity. By helping foster students' self-efficacy and confidence in their knowledge and skills so they can apply for funding, we aim to increase the number of people applying for scholarships so that financial resources are no longer a significant barrier to higher education. References Griffiths, A. (2022, January 8). Canadian scholarships by province. GrantMe.https://grantme.ca/canadian-scholarships-by-province/ Hoff, E. (2013). Interpreting the early language trajectories of children from low-SES and language minority homes: Implications for closing achievement gaps. Developmental Psychology, 49(1), 4–14. https://doi.org/10.1037/a0027238 Singh, K. (1998). Part-Time Employment in High School and Its Effect on Academic Achievement. The Journal of Educational Research, 91(3), 131–139. https://doi.org/10.1080/00220679809597533
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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 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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 it