ANALYSIS OF DISCOURSE FEATURES AND VERIFICATION OF SCORING LEVELS FOR INDEPENDENT AND INTEGRATED PROTOTYPE WRITTEN TASKS FOR THE NEW TOEFL®
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
We assessed whether and how the discourse written for prototype integrated tasks (involving writing in response to print or audio source texts) field tested for the new TOEFL® differs from the discourse written for independent essays (i.e., the TOEFL essay). We selected 216 compositions written for 6 tasks by 36 examinees in a field test—representing Score Levels 3, 4, and 5 on the TOEFL essay—then coded the texts for lexical and syntactic complexity, grammatical accuracy, argument structure, orientations to evidence, and verbatim uses of source text. Analyses with nonparametric MANOVAs, following a 3-by-3 (task type by English proficiency level) within-subjects factorial design, showed that the discourse produced for the integrated writing tasks differed significantly at the lexical, syntactic, rhetorical, and pragmatic levels from the discourse produced in the independent essay on most of these variables. In certain analyses, these differences were also obtained across the 3 ESL proficiency levels.
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 | 0.002 | 0.003 |
| 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 | 0.000 | 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 it