Developing illustrative descriptors of aspects of mediation for the Common European Framework of Reference (CEFR)
Bibliographic record
Abstract
The notion of mediation has been the object of growing interest in second language education in recent years. The increasing awareness of the complex nature of the process of learning – and teaching – stretches our collective reflection towards less explored areas. In mediation, the immediate focus is on the role of language in processes like creating the space and conditions for communication and/or learning, constructing and co-constructing new meaning, and/or passing on information, whilst simplifying, elaborating, illustrating or otherwise adapting input in order to facilitate the process concerned. At a deeper level though, the notion of mediation embraces a broader spectrum of dimensions and connotations. Mediation has been defined as a ‘nomadic notion’ (Lenoir 1996) insomuch as it is at the core of a variety of scientific disciplines and the term ‘mediation’ is used in different senses in different contexts.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.004 | 0.010 |
| Scholarly communication | 0.007 | 0.011 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.011 | 0.002 |
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 source (direct Gemma or distilled Codex), 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".