Bibliographic record
Abstract
This article presents findings on students’ views and experiences of tiering in Northern Ireland and Wales from a children’s rights perspective. It considers the extent to which tiering fulfils the rights to education, best interests, non‐discrimination, and participation under the Convention on the Rights of the Child. It emphasises that while the majority of students were supportive of tiering, their responses highlighted a range of negative effects of tiering on students taking foundation tier. Students described the impact of being placed in the foundation tier on their self‐esteem and relationship with their peers, indicating that being allocated to foundation tier can have a labelling effect. Students who were taking foundation papers, or a mixture of foundation and higher‐tier papers, were more likely than those taking higher‐tier papers to report that they wanted to change tier and to raise issues overall regarding tiering. Furthermore, students who were faced with these difficult choices often had a poor understanding of several aspects of tiers. The article argues that alternative forms of differentiation should be considered, and presents students’ perspectives on some of these. It argues that we must ensure that young people have a good understanding of tiering and that their views and experiences of tiering are taken into account when considering further reforms to GCSEs.
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.009 | 0.017 |
| Scholarly communication | 0.010 | 0.006 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.005 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".