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Record W2733268477

Let Law Be Law, and Let Us Critique: Teaching Law to Undergraduate Students of Criminal Justice

2017· article· en· W2733268477 on OpenAlexaffabout
Richard Jochelson

Bibliographic record

VenueSSRN Electronic Journal · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicLegal Education and Practice Innovations
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsLawCriminal lawLegal educationLegal professionPublic lawComparative lawPhilosophy of lawSociologyPolitical science
DOInot available

Abstract

fetched live from OpenAlex

Pedagogy at law school in Canada typically follows a regimented structure. Apart from core courses, students are introduced to the mechanics of how to read, write and interpret law. Course offerings are said to equip the student with legal literacy, preparing the first year law student to engage in the various fundamentals of the first year core curriculum. Undergraduate teaching of law outside of the law school context does not provide the same rudimentary preparation. The most pressing issue in undergraduate teaching is usually the legal illiteracy of most undergraduate students whom are new to the field of law. An introductory criminal law course in a liberal arts university could never provide the kind of introduction to legal literacy that formal legal education mandates. The challenge then is for the instructor to provide a lens of analysis for the undergraduate student in order to make law valuable outside of the context of the goals of the legal profession. This essay examines strategies that undergraduate law teachers (outside of law school) can use to make meaningful the study of the criminal law for students who may never be bound for law school. In some ways the undergraduate law teacher is advantaged over the law professor in that she does not need to be bound by a positivistic faith in law’s ability to solve problems. This ability to move outside of the self-contained nature of law allows for the potential of a civics education that is informed, critical and inherently analytical. These skills allow the teacher to find a new purpose for the teaching of law, which has ramiications for the manner in which one teaches and conducts research.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.601
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0040.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

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 head0.040
GPT teacher head0.439
Teacher spread0.399 · 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.

Study designTheoretical or conceptual
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

Citations3
Published2017
Admission routes2
Has abstractyes

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