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Record W3122291537

The Rule of Law Through the Looking Glass

2009· article· en· W3122291537 on OpenAlexaff
Mary Liston

Bibliographic record

VenueSSRN Electronic Journal · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicLaw, Rights, and Freedoms
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsRule of lawLawSociologyCitizenshipPoliticsAdventureLaw and literaturePublic lawDemocracyPolitical scienceHistory
DOInot available

Abstract

fetched live from OpenAlex

This article explores how children’s literature sheds light on common understandings and background assumptions about the Anglo-North American concept of the rule of law. Three popular texts from children’s literature – Lewis Carroll’s Alice’s Adventures in Wonderland and Through the Looking Glass, Norton Juster’s The Phantom Tollbooth, and J. K Rowling’s Harry Potter and the Order of the Phoenix – offer a familiar basis from which to consider the social imaginary of the rule of law. Each text acts as its own case study disclosing troubling deficiencies in a fictional public law order and prompting reconsideration of the rule of law’s compatibility with command and control modes of rule, reflection about its minimum moral content, and analysis of its relationship with substantive conceptions of justice such as human rights discourses. The author argues that these three encounters with fictional legal orders contribute to the social construction of the rule of law as a political good, a public discourse, and a constitutive component of democratic citizenship.

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)0.004
metaresearch head score (Gemma)0.006
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: Commentary · Consensus signal: none
Teacher disagreement score0.025
Threshold uncertainty score0.066

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0080.068
Scholarly communication0.0100.011
Open science0.0010.005
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0050.001

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 head0.011
GPT teacher head0.275
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
GenreCommentary

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
Published2009
Admission routes1
Has abstractyes

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