Canadian Academic English Language (CAEL) Assessment
Bibliographic record
Abstract
proficiency level of test takers who plan to study in English-language-medium colleges and universities. Primary uses: The CAEL Assessment is used for admission into English-medium colleges and universities as well as for placement into or tracking progress attained during an intensive English language program. Administration: The test is administered at test centers in Canada as well as some sites in Asia, the Middle East, South America and Europe. According to the information available on the website, there are 14 versions of the test available on a rotating basis. Comparative results have been presented for four different versions of the test. Registration: Test takers must register online; during registration students complete a self-assessment and submit a personal essay. Scores: The CAEL assessment is criterion-referenced. All scores are reported on a 7-level band scale by sub-test (reading, listening, writing and speaking) as well as an overall score for the test. However, as the Test Score and Users ’ Guide points out, the overall score is ‘not a linear summation of the subtests. Rather, each test taker’s profile is reviewed by the
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 | 0.002 | 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".