Thompson Rivers University Open Learning calendar 2009-2010
Bibliographic record
Abstract
Thompson Rivers University, Opening Learning (TRU-OL) was created in 2005 and today, is British Columbia's leading distance education provider.Based in the new BC Centre for Open Learning, located on the main campus in Kamloops, BC, TRU-OL delivers online and distance programs and courses through accessible and varied learning options that can be taken anytime and at an individually-determined pace.Open Learning offers fully recognized university courses and programs through a variety of flexible formats including: print-based, web-based and in-person as a lab, clinical, workshop or fieldwork.This Calendar provides information on over 400 individual courses and 52 programs available for completion by distance and online learning.For details about other programs offered on either the main Kamloops or regional Williams Lake campus, consult the TRU calendar or visit the TRU website at www.tru.ca. HOW TO REGISTER FOR AN OPEN LEARNING COURSE Applicants with a documented disability requesting services and/or accommodations are required to contact the Disability Services at 1.888.828.6644 (toll-free in Canada) or 250.828.5023 (Kamloops and International), twelve weeks prior to their intended course start date.Register online with American Express, MasterCard, VISA or approved student loan Use the "Register Now" system on the TRU-OL website to register quickly and conveniently.Register by phone with American Express, MasterCard or VISA Phone Student Services, with course details and credit card information, on weekdays from 8:30 a.m. to 4:30 p.m.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.379 | 0.253 |
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".