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Record W4400457089 · doi:10.5553/elr.000265

Including the Forgotten Party in Legal Education: Victims of Crime

2023· article· en· W4400457089 on OpenAlexaboutno aff
Jo-Anne Wemmers, Amissi Manirabona, Marika Lachance Quirion, Andreea Ioana Zota, Alain-Guy Sipowo, Audrey Deschênes

Bibliographic record

VenueErasmus Law Review · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicLegal Education and Practice Innovations
Canadian institutionsnot available
Fundersnot available
KeywordsWitnessPremiseVictimologyPresentation (obstetrics)Work (physics)LawCriminologyPolitical scienceLegal educationLegal professionPsychologySexual abusePoison controlHuman factors and ergonomicsMedicineEngineering

Abstract

fetched live from OpenAlex

Including the Forgotten Party in Legal Education: Victims of Crime Since the 1970s, victimologists have identified victims as the ‘forgotten party’ in criminal law, emphasising its failure to recognise them as more than a witness to a crime. While victimology and our understanding of the effects of crime on victims have advanced considerably in recent years, victims largely remain the forgotten party in legal education. Law schools in Canada continue to approach victims as witnesses and fail to offer tomorrow’s legal professionals comprehensive training in victimology. Based on the premise that change starts with education, we created an interdisciplinary legal clinic for victims of crime in which law students work together with criminology students, providing legal information to victims. This article presents findings from an evaluation of the programme, which is based on a qualitative study of law students who participated in our legal clinic for victims. After a brief presentation of the programme and the training provided to students, we explore the experiences of the law students and examine how they feel their experience impacted the way they view law and prepared them to work with victims of crime.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.933
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.106
GPT teacher head0.460
Teacher spread0.355 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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