Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Subjects : These scholarships will be awarded in the subjects offered by the university Purpose : Applications are open for the University of Winnipeg Manitoba Graduate Scholarships (MGS) organized by the University of Winnipeg. These scholarships are open to the students who are enrolled or plan to enroll as a full-time student in a master’s program at the University of Winnipeg Eligibility : 1. Have achieved a minimum GPA of 3.75 in the last 60 credits hours of study. 2. Be in a pre-master’s program and/or entering the first or second year of an eligible master’s program as of May or September of the current year or January of the upcoming year. 3. Be enrolled in or plan to enroll in as a full-time student in a master’s program. Level of Study : Postdoctorate Type : Scholarship Value : $15,000 Length of Study : 1 year Frequency : Annual Country of Study : Any country Application Procedure : Apply online: www.uwinnipeg.ca/graduate-studies/docs/uwmgs-application+checklist-revisedjan2019-2.pdf Closing Date : 1 March Funding : Foundation For further information contact: Email :: gradstudies@uwinnipeg.ca
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it