Columbia College of Missouri
Bibliographic record
Abstract
Purpose : This award is for Missouri high school seniors who are residents of Boone County and planning to attend Columbia College Eligibility : Must be a graduating high school senior. Must be a resident of Boone County, MO. 1. Must be a United States citizen or permanent resident. 2. Must demonstrate community service/volunteer work. 3. Must enroll as a full-time student. 4. Must have a cumulative grade point average of 3.1 or higher. 5. Must have an ACT score of 22 or higher or the equivalent SAT score Level of Study : Graduate Type : Award Value : US$1,000 Frequency : Annual Country of Study : United States of America Application Procedure : The scholarship is made possible through the support of more than 200 area businesses. Recipients of the award will be chosen by committee in April and will be notified appropriately. Application details are available in the form of pdf. www.ccis.edu/offices/financialaid/booneendowed/boonecountyendowedscholarshipday.pdf Closing Date : 31 March Funding : Private No. of awards given last year : 5 Additional Information : www.unigo.com/scholarships/all/columbia-college-of-missouri-boone-county-endowed-award/1070 For further information contact: 1001 Rogers St., Columbia, MO 65216, United States of America. Tel :: (1) 573 875 7506 Email :: admissions@ccis.edu
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.546 | 0.298 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".