Fundamentals of Language and Language Learning: A Collaborative Initiative for the Implementation of a Common Online Language Training Component in the First-Year Language Curriculum
Bibliographic record
Abstract
The Fundamentals of Language and Language Learning is an online mini course developed at the School of Languages and Literatures (University of Guelph). The four online modules are integrated in the core curriculum of all introductory language courses and are mandatorily completed by an incoming cohort of all first-year language students. This cross-subjects and cross-departmental project addresses the educational challenges students face as they transition from high school to university and offers a more general, rich, yet linguistically supported language learning training. The 10-15 hours of asynchronous autonomous work equip students with a toolbox for effective language learning in a second/foreign language classroom. Students explore how languages are structured, function, change, interconnected with each other and how they could use this knowledge for faster, easier, more effective, and more sustainable language learning. The mini course empowers the second/foreign language learner through activating earlier acquired languages and by applying fundamentals of linguistics into the process of language learning.
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 | 0.000 | 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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".