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Record W2255536214

How Do You Trim the Seamless Web? Considering the Unintended Consequences of Pedagogical Alterations

2008· article· en· W2255536214 on OpenAlexaff
Ryan Patrick Alford

Bibliographic record

VenueSSRN Electronic Journal · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicLegal Education and Practice Innovations
Canadian institutionsLakehead University
Fundersnot available
KeywordsSocratic methodPerspective (graphical)DemiseEpistemologyFoundation (evidence)Unintended consequencesValue (mathematics)Bridge (graph theory)Legal educationSociologyPolitical scienceLawPhilosophyComputer scienceArtificial intelligenceMedicine
DOInot available

Abstract

fetched live from OpenAlex

The Socratic method is considered obsolete and unhelpful by many legal educators. Catalyzed by the latest report of the Carnegie Foundation on legal education, educational reformers are pushing for the reduction or elimination of its use. This paper presents a historical perspective on the importance of the Socratic method to the development of law and to its continuity across time. It highlights the importance of the method in imparting Aristotelian epistemology and scholastic modes of reasoning that are increasingly rare in society at large, but which are critical to the structure and spirit of the law. Accordingly, it is argued that it is impossible to predict with confidence that the demise of the Socratic method would not destroy our hermeneutic bridge to the era in which foundational concepts of law were elaborated, or even destroy our ability to understand them. This perspective should give us pause when we consider making changes to a tradition with a value that we do not always appreciate.

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 imitation

Not 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.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.038
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.015
Threshold uncertainty score0.043

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.038
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.013
Scholarly communication0.0150.034
Open science0.0020.006
Research integrity0.0070.006
Insufficient payload (model declined to judge)0.0090.002

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 head0.125
GPT teacher head0.389
Teacher spread0.264 · 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 source (direct Gemma or distilled Codex), 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

Citations4
Published2008
Admission routes1
Has abstractyes

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