Bibliographic record
Abstract
OLBI Working Papers and CCERBAL are celebrating their fifth anniversary! This issue hence shows the commitment towards research and its dissemination made by the members of CCERBAL, their partners, and those researchers and educators who have taken part in the CCERBAL conferences and published in OLBI Working Papers since 2008. It should be recalled that The Canadian Centre for Studies and Research on Bilingualism and Language Planning is the result of an initiative launched by professors from various faculties and departments at the University of Ottawa including Richard Clement, psychologist and Director of OLBI and Larry Vandergrift, educator and founding Director of CCERBAL. From the start, CCERBAL's mission was to establish itself as a national and international hub for the study and design of public policy on bilingualism and linguistic duality. It sought to bring together researchers in OLBI's areas of specialization, namely second language teaching and learning, the measurement of language proficiency and issues of language policy through its conferences, research forums, symposiums, special events, as well as its online presence.
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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 | 0.004 | 0.023 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.006 | 0.008 |
| Insufficient payload (model declined to judge) | 0.131 | 0.088 |
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".