Fair and equitable assessment practices for all students
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 paper focuses on promoting fairness and equity in student assessment practices. The researchers used questionnaires and interviews and the study encompassed a total of 3312 individuals representing a range of stakeholders. The paper is presented in two parts: fairness and discrimination, and challenging policy and practice. Five key principles emerged. Educators must strive to address the personal impact of assessment practices on individual students and their families. Assessment must be differentiated to accommodate the ability, social, cultural and linguistic background of students. All members of school communities must challenge the complacency associated with accepting indefensible assessment practices. The frequency, intensity and intrusiveness of assessments must not be overwhelming for students and their families. Finally, assessment must not be used to counter inappropriate student behaviour or reward desired behaviour. Implications for practice are presented. Additionally, the authors describe changes to policy and practice that occurred as a result of the study.
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 | 0.004 | 0.003 |
| 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 | 0.001 | 0.003 |
| 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