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
Canada is considered a bilingual nation yet fewer than twenty percent of Canadians speak both official languages. Experts in the French Second Language field recommended “making French real” (Lapkin, 2006; Rehorick, 2004) as one way to increase bilingualism. This idea relates to the development of a language learners’ awareness of the living culture connected to the target language as an essential part of bringing language to life. Lapkin (2006) suggests that creating links with the local francophone community, virtual communication and student exchange programs with francophone communities are all examples of making French real. For Lapkin the best way to make French real is through contact with the target language group. With the global community becoming increasingly smaller, a key part of making language real is valuing intercultural competency (Byram et. al., 2002). Intercultural competency involves helping learners see relationships between their own culture and the target culture, as well as helping learners create a sense of awareness both of their own culture and of culture surrounding them (Byram et al., 2002, p.6).
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 | 0.000 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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