INVESTIGATING THE VALIDITY OF TOEFL: A FEASIBILITY STUDY USING CONTENT AND CRITERION‐RELATED STRATEGIES
Bibliographic record
Abstract
ABSTRACT The purpose of this study was to investigate the feasibility of two complementary approaches to assessing the validity of the TOEFL examination. One approach used evidence based on test content. In the context described in this report, evidence based on test content refers to the degree to which the items on the TOEFL examination are representative of the knowledge and skills required to demonstrate English proficiency in undergraduate and graduate programs throughout the United States and Canada. The content‐oriented approach used in this pilot study involved item rating procedures that were designed to evaluate and document the relationship between the language tasks or behaviors previously identified as important for academic success and the test items used to measure them. The second approach used a criterion‐related validation strategy. In this aspect of the study, experimental rating scales were developed for use by faculty to evaluate students' current levels of English language proficiency. These scales were designed to sample the domain of behaviors previously identified as important.
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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 | 0.132 | 0.304 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".