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
Research conducted at George Brown College in Toronto identified a significant gap between students’ language proficiency, the requirements of the program from which they were about to graduate, and the language requirements of the related workplace. Specific language and socio-cultural competencies had to be packaged into a language support solution in a delivery format matching students’ needs and their demanding schedules. Based on these needs, an adjunct language support course was designed following paradigms of computer-assisted language learning (CALL) and Mobile-Assisted Language Learning (MALL) theories of learning. The resulting hybrid English for Special Purposes (ESP) course comprised three components: in-class, online, and mobile. Traditional ESL resources were combined with in-house produced audio-video podcasts and open source content. Results demonstrated that blending in-class, online and mobile language learning is an effective solution for teaching English to adult learners, and it is a solution that enables improved flexibility and individualization of practice.
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 | 0.001 |
| 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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