Three Minute Thesis Abstract Booklet 2017
Bibliographic record
Abstract
Abstract Page Obsessive Passion as a Positive Factor in National Professional Fastpitch Players Candice VanHorn, and Kim Dorsch 1 Human Contributions to Antibiotic Resistance in the Environment Claire Freeman, and Chris Yost 2 Exploring Healthcare Culture through Moral Agency and Moral Distress Elisabeth Fortier, and David Malloy 3 The Teleology of Love in the Novels of Evelyn Waugh and Iris Murdoch Harrison Otis, and Marcel DeCoste 4 Internet-Delivered Exposure Therapy Training for Parents of Children with Anxiety Katherine Mazenc, and Lynn Loutzenhiser 5 Representing the Non-Human in England's Early Modern Arts Luba Kozak, Francesco Freddolini, and Randal Rogers 6 From initial perception to a long-term forecast: what is the future of innovative mental health treatments? Maryna Moskalenko, and Tarun Katapally 7 Wellness Blankets: The effects of participation in textile based art on Those with (Dis) abilities Megan St.Hilaire, and Douglas Durst 8 Developing management targets for grassland songbirds in the mixed-grass prairie Phil Rose, Mark Brigham, and Stephen Davis 9 Needs Assessment of Healthcare Services in Canada for Trauma Survivors: Perspectives from Trauma Survivors and Primary Care Physicians Seint Kokokyi, and Bridget Klest 10 Sisters in Common: Embodiment of Honor and challenges of rape culture in Pakistan and Canada Sumaira Shiraz Alwani, and Patricia Elliott 12 Density dependent tree mortality along an elevation driven moisture availability Tanvir Ahmed Shovon, Mark Vanderwel, and Daniel Gagnon 13 A Qualitative Examination of Mental Health Disclosure in the Workplace Y. Nichole Faller, and Mary Hampton
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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.806 | 0.670 |
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".