Finding your college fit in Indiana
Bibliographic record
Abstract
“Finding Your College Fit in Indiana” is a creative project that takes the form of a website. The\npurpose of this website is to help Indiana high school and college students make more informed\ndecisions regarding various college-related choices. The project explores reasons to attend or not\nattend college, weighing different costs with the financial, social, spiritual, and cultural benefits.\nThe project also details a multitude of factors that prospective students should consider when\nfinding the right school for them, including their best-fit area of study, type of institution to\nattend, what different institutions have to offer, financing options available to cover the costs of\neducation, an analysis of the financial implications of attending various Indiana institutions and\nhow this compares with future earnings for the desired career outcome, the location and distance\nof Indiana institutions, and an overview of 44 four-year institutions and eight community\ncolleges in Indiana. Finally, the website provides five alternatives to attending college for\nviewers who choose not to go to college. The creative project compiles many sources and tools\nto create a website that assists in various college decisions that high school and early college\nstudents may face.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 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) | 0.000 | 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".