An Integrated Design and Appraisal Framework for Ethical Writing Assessment
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 my introduction to this special issue, I highlighted the insufficiency of key measurement concepts--fairness, validity, and reliability--in guiding the design and implementation of writing assessments. I proposed that the concept of ethics provides a more complete framework for guiding assessment design and use. This article advances the philosophical foundation for our theory of ethics articulated by Elliot (this issue). Starting with fairness as first principle, it examines how safety and risk can be addressed through the application of an integrated design and appraisal framework (IDAF) for writing assessment tools. The paper is structured around two case studies set in Alberta, Canada. Case Study 1 applies Kane's (2013) IUA model of validation to an appraisal--Alberta's English 30-1 (grade 12 academic English) diploma exam program--highlighting in the process the limitations in contemporary validity theory. Case Study 2 examines an assessment design project I am currently undertaking in partnership with 8 English language arts teachers in southern Alberta. This case study examines how the IDAF supports ethical assessment design and appraisal.
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 | 0.001 |
| 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 | 0.000 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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