The Leicester Student Law Review 2024. Volume 1, Issue 13.
Bibliographic record
Abstract
Table of Articles Shahzad Qazi, 'Balancing Autonomy and Protection: Safeguarding Medical Assistance in Dying in the United Kingdom'. Winner of the of Gisèle Routhier Memorial Essay Competition (2024), pp.2-10. Rebecca Bocchinfuso, 'The Impact of Ghaidan v Godin-Mendoza on the Legitimacy of Homosexual Relationships in the United Kingdom'. Winner of the Family Law Case Brief Competition (Fall 2023), pp.12-15. Mia Worenwu, 'Assessing the Necessity of EU Accession to the ECHR', pp.17-22. Brahmjot Dua, 'Failings of The Criminal Justice System: Race and Prison'. Winner of the Leicester Student Law Review Student Voice Award, pp.23-30. Dylan Tsao, 'What Does Society Hope to Achieve When it Punishes Offenders?', p.31-39. Alexandria Solomon-Augustine, 'The Unprincipled Incoherency of the Law on Consent to Bodily Injury', pp.40-44. Louis Scaramuzza, 'Navigating the Legal Rink: The Case of Matt Petgrave and the Ambiguous Borders of Criminal Liability in Sports', pp.45-52. Manzil Atri, 'From Admission to Employment: The Role of Law School Tiers in North American Legal Careers', pp.53-61. Kelsey Perry-Carlsen, 'Assumption of Liability by Parent Corporations for Environmental Damage: An Analysis of the Vedanta Pathways', pp.62-71. Kirandeep Mann and Maliha Muzzafar, 'Colonisation in Canada: The Impact of the Indian Act on Indigenous Femininity', pp. 72-81.
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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 | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.010 | 0.008 |
| Insufficient payload (model declined to judge) | 0.384 | 0.321 |
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".