Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
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.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.018 | 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 it