A Review of the Reading Section of the TOEIC
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
In 1979, the Educational Testing Service (ETS) developed the TOEIC (Test of English for International Communication), an English proficiency test for people working in international environments, based on a request from the Japanese Ministry of International Trade and Industry. The Chauncey Group International, a subsidiary of ETS, currently develops and publishes the test. Over two million people per year take the TOEIC (www.toeic.com). According to the TOEIC Report on Test-Takers Worldwide, 1997-98, 63% of the TOEIC results were used in Japan, 29% in Korea, and 8% in other countries. Most reviews of the TOEIC have been descriptions of the test (Gilfert, 1996; Perkins, 1987). The TOEIC comprises the listening and reading section. Buck (2001) reviews only the listening section. For the reading section of the TOEIC we could find only one critical review (Richards, 1992) published over the two decades since the test was developed. Therefore, our purpose in this article is to review critically the reading section based on recent studies of language assessment, particularly for construct validity and content validity, which are considered by language testing researchers (Backman, 1990; Cumming, 1996) as fundamental for validation of language tests.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it