It's all about meaning : L2 test validation in and through the landscape of an evolving construct
Bibliographic record
Abstract
To argue that inferences drawn from a test of writing are valid, empirical evidence must demonstrate that the test adequately represents the construct it is designed to measure (Messick, 1998). The writing component of the Canadian Academic English Language (CAEL) Assessment, was developed in the early 1990's to represent the construct of English in use for academic purposes (EAP). Since that time, EAP approaches have been criticised within the fields of both language testing (Alderson, 1993; Clapham, 2001) and genre and composition studies (Freedman, 1999). Writing is currently viewed as a "site of social and ideological action" (Schryer, 1994), embedded within, and interacting with the disciplinary, historical, political and cultural contexts in which it acts (Freedman and Medway, 1994; Norton, 1995). Informed by cultural-historical Activity Theory (Cole and Engestrom, 1994; Vygotsky, 1989), this research examines the "social actions" which characterise performance on the CAEL writing test in relation to two other tests of English as a Second Language (L2) writing, the personal essay and the timed-impromptu essay. In Study 1, the semiotic potential of each test is defined by analysis of the verbal accounts of 4 raters and 20 test takers. In their accounts, what separates the EAP writing test from the other tests of writing is the academic expertise the EAP test elicits. In Study 2, the scores from n = 375 EAP essays and n = 271 cloze tests are compared in order to examine how much of the variance in each test is accounted for by academic expertise. Taken together, Studies 1 and 2 provide empirical evidence of what performance on the EAP writing test means to those engaged in the activity of testing. Evidence that the EAP writing test represents a construct, which has been reconceptualized to reflect current theories of writing, addresses the criticism of EAP-based tests and provides a model of inter-disciplinary test validation in relation to evolving construct
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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 | 0.153 | 0.280 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.004 | 0.009 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.003 | 0.008 |
| Research integrity | 0.001 | 0.003 |
| 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 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".