Do ESL Essay Raters' Evaluation Criteria Change With Experience? A Mixed‐Methods, Cross‐Sectional Study
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 study adopted a mixed‐methods cross‐sectional approach to identify similarities and differences in the English as a second language (ESL) essay holistic scores and evaluation criteria of raters with different levels of experience. Each of 31 experienced and 29 novice raters rated a sample of ESL essays holistically and analytically and provided written explanations for each holistic score they assigned. Score and qualitative data analyses were conducted to identify the criteria that the raters employed to rate the essays holistically. The findings indicated that both groups gave more importance to the communicative quality of the essays than to other aspects of writing. However, the novice raters tended to be more lenient and to give more importance to argumentation than the experienced raters did. The experienced raters tended to be more severe, to give more importance to linguistic accuracy, and to refer to evaluation criteria other than those listed in the rating scale more frequently than the novices did. The article concludes with a call for longitudinal research to investigate to what extent, how, and why rater evaluation criteria change over time and across contexts.
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 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.012 | 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