Introducing CASPERR – the free, open-access Canadian Research Repository
Bibliographic record
Abstract
The Canadian Ambulance Service, Paramedicine and EMS Research Repository (CASPERR) was developed as a pan-Canadian open-access digital repository infrastructure. CASPERR will archive peer-reviewed journal articles, professional articles, theses, policy reports, conference presentations, posters, data sets, educational materials, and other forms of related research and knowledge products. It will be searchable, citable, and compliant with key Canadian and international open science policies.The mission of CASPERR is to support open science in paramedicine within Canada, providing a trusted and comprehensive space for researchers, policymakers, and others to share their data and outputs. CASPERR simplifies the process of complying with open science requirements, ensuring that research outputs are freely accessible, thereby accelerating scientific discovery and innovation within the discipline in Canada and beyond.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.022 | 0.036 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.005 |
| Science and technology studies | 0.012 | 0.001 |
| Scholarly communication | 0.046 | 0.003 |
| Open science | 0.035 | 0.021 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.004 |
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; both teacher heads 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".