Faculty of Graduate Studies APPLICATION FOR GRADUATE ADMISSION Instructions to Applicants
Bibliographic record
Abstract
Send a signed, complete application form to each graduate program to which you are applying. Do NOT send your documents to the Faculty of Graduate Studies. APPLICATION FEE Put the application fee into a separate envelope clearly marked with “Graduate Application Fee ” and your name and include the envelope with your application. Applicants are required to submit a nonrefundable CDN $60.00 application fee with each application. Applications received will not be processed if the application fee has not been paid. The application fee may be in the form of cash, a money order, or a micro-encoded cheque in Canadian or the equivalent amount in US currency, made payable to the University of Calgary. Do not send cash through the mail. This non-refundable application fee covers the processing of the application file, whether or not the applicant is admitted to the University of Calgary. ACADEMIC HISTORY Complete one line for each academic institution attended or degree awarded since post-secondary studies began. Applicants must arrange to have two sets of official transcripts from all post-secondary institutions attended (regardless of the number of courses taken and the amount of time spent there) sent directly to the department(s) to which the applicant is applying. Official transcripts are transcripts sent directly from the issuing institution to the receiving institution. Transcripts received from the student or any other third party will be considered unofficial. (For work done at the University of Calgary, many departments will print and certify an Infonet transcript for an applicant. This will be accepted in place of an official University of Calgary transcript. Infonet transcripts printed by the applicant will not be accepted.) If the original transcripts (and the degree certificates from those institutions that do not indicate the awarding of degrees on the transcripts) are in a language other than English, the applicant must also send the department an additional copy of each transcript (and degree certificate) with a notarized word-forword English translation.
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 | 0.006 | 0.036 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.728 | 0.618 |
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 source (direct Gemma or distilled Codex), 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".