A New Receptive Vocabulary Size Test for French
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
Researchers have developed several tests of receptive vocabulary knowledge suitable for use with learners of English, but options are few for learners of French. This situation motivated the authors to create a new vocabulary size measure for French, the Test de la taille du vocabulaire (TTV). The measure is closely modelled on Nation’s (1983) Vocabulary Levels Test (VLT) and follows the guidelines written by Schmitt, Schmitt, and Clapham (2001). Initially, a pilot version was trialled with 63 participants; then an improved version was administered to 175 participants at four proficiency levels. Results attest to the TTV’s validity: mean scores across the four frequency sections decreased as the tested words became less frequent, and more proficient learner groups outperformed less proficient groups. The TTV in its current form is intended to be of practical use to teachers and learners, but it is also expected to evolve; ideas for future improvements are discussed.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.034 | 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