Proceedings of the 6th Annual Thompson Rivers Undergraduate Student Research and Innovation Conference:
Bibliographic record
Abstract
Whether focused on Kamloops or Kashmir, these writers impart an inspirational belief that the world can become a better place.recent studies using mock trials and concluded that researchers' cautions against overuse of college students in the simulations did not perceptibly impact the research community; nor did their reservations about trial simulation designs that condense material effect a change in practice.Jasim Khan studies the effects of geopolitical instability in the Kashmir Valley on tourism, the environment, and, indeed, the socio-cultural integrity of the region.Khan recommends "a strategic framework to crisis management and mitigation" further study of the ramifications of the instability and, of course, "an honest effort to resolve" the situation.Measured yet passionate, these scholars' responses to global concerns have much to offer the reader.The qualitative and quantitative engagement of Thompson Rivers University students in the 2011 Undergraduate Conference is both a source of pride to the organizing committee and an example to future participants.We are also proud to offer both print and online versions of the proceedings this year in the hope that more hearts and minds will be exposed to this important research.
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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 | 0.009 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.008 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.099 | 0.023 |
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".