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.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.472 | 0.159 |
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".