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Record W1552970822

Law Students, Law Schools and Their Graduates

2001· article· en· W1552970822 on OpenAlexaffabout
Larry Chartrand, Dolores Blonde, Micheal Cormier, Kai Hildebrandt, Christopher J Wydrzynski, Edward J. Czilli

Bibliographic record

VenueSSRN Electronic Journal · 2001
Typearticle
Languageen
FieldSocial Sciences
TopicLegal Education and Practice Innovations
Canadian institutionsWestern UniversityUniversity of WindsorUniversity of Ottawa
Fundersnot available
KeywordsLegal educationLegal professionLawLegal researchLegal psychologyPolitical sciencePopulationEmpirical legal studiesPsychologySociology
DOInot available

Abstract

fetched live from OpenAlex

The legal profession is often discussed but seldom studied empirically. This study collected survey data from students and alumni from five law schools representing a range of Canadian legal institutions that differ, inter alia, in their admissions policies. This article presents an overview of our findings.One research question concerned the degree to which the population of law students and lawyers has changed (and is still changing), especially in regard to the participation by members of groups that had not previously attended law school or become lawyers. Our evidence suggests that most groups have significantly increased their participation as legal professionals, with the exception of members from lower socio-economic groups who have no made significant gains.Admission processes have played a part in making legal education more accessible. In addition, we examined the impact of many factors - from the atmosphere in law schools to special support programs - on different aspects of legal education, including the likelihood of success. Special attention was paid to the experience of Aboriginal law students in the five law schools. In addition, numerous other aspects of legal education and the legal system are studied, including life and career satisfaction and attitudes toward the legal system, as experienced and perceived by students and alumni of the five law schools. Age (or experience) and the specific law school attended appear to have significant impacts on how the legal system is perceived.The conclusion discusses some implications of the changes (and opening) of the legal system, including the need to address issues of real or perceived barriers to access to the legal profession.

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)0.000
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 score0.539
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.000
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 head0.025
GPT teacher head0.361
Teacher spread0.336 · 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

Citations5
Published2001
Admission routes2
Has abstractyes

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