Review of doctoral research in language assessment in Canada (2006–2011)
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
This paper reviews a selected sample of 24 doctoral dissertations in language assessment (broadly defined), completed between 2006 and 2011 in Canadian universities. These dissertations fall into five thematic categories: 1) reliability, validity and factors affecting test performance; 2) washback (impact) and ethics; 3) raters, rating and rating scales; 4) classroom-based research: teaching, learning and assessment; and 5) vocabulary learning, lexical proficiency and lexical richness. The themes were categorized according to the International Language Testing Association (ILTA) bibliographical categorization index. We identify trends such as the methodological strength of complex mixed methods research design, which enhances the validity of the research findings: 16 (67%) took a pragmatic (rather than paradigmatic) approach in their use of mixed methods, with four (17%) opting for multi-method quantitative approaches and four (17%) for qualitative. We also discuss the depth and breadth of these dissertations and situate their scholarly contributions within Canadian and international research on language assessment.
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 | 0.004 | 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) | 0.002 | 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