Task-Based Language Teaching With a Semantic-Centred Pedagogic Grammar
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
Task-based language teaching (TBLT) is well known for providing authentic opportunities for second and foreign language (L2) skill development. However, for many learners the use of traditional grammar within TBLT lacks the functional support necessary to create accurate and fluent L2 output. The current study replaced traditional grammar explanations with a semantic meaning-order approach to pedagogical grammar (MAP or MAP grammar) as a means to bridge the language in tasks to their function and thereby strengthen form-to-meaning understanding. The study combined TBLT and MAP grammar to look for changes in the complexity, accuracy, and fluency of 127 L2 learners’ writings. The results showed TBLT and MAP separately increased syntactic complexity, whereas the combination of the two provided gains in accuracy and fluency. This was achieved by systematically directing learners’ attention to a sequence of functional choices thereby simplifying necessary metalinguistic explanations.
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 | 0.001 |
| 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