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Record W2096098348 · doi:10.21083/csieci.v6i1.1083

“I Made a Promise to a Lady”: Critical Legal Pluralism as Improvised Law in Buffy the Vampire Slayer

2010· article· en· W2096098348 on OpenAlexvenueno aff
Wendy A. Adams

Bibliographic record

VenueCritical Studies in Improvisation / Études critiques en improvisation · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicLaw in Society and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsVampireLawLegal pluralismLegal realismPhilosophy of lawSociologyJurisprudenceLegal historyImprovisationLegal professionPolitical sciencePublic lawLiterature

Abstract

fetched live from OpenAlex

Given traditional understandings of law, one might be sceptical of a claim that improvisation and justice are not mutually-exclusive concepts. Does not the significance of the rule of law, the requirement that we be governed by rules and not arbitrary, ad hoc discretion, call into question the legitimacy of improvisation in law? To this very lawyerly question, I provide a very lawyerly answer: it depends.
 
 Legal orthodoxy may indeed refuse to acknowledge any role for improvisation in law, but other theories of law, particularly a theory of critical legal pluralism, is likely to be more accommodating. Critical legal pluralism rejects the characterization of law as an external force obeyed by legal subjects. Instead, critical legal pluralism recognizes the improvised nature of law; legal subjects are not law-obeying but rather law-creating, generating their own legal subjectivity and establishing legal order in real time as a knowledge process of creating and maintaining reality.
 
 This article analyzes Buffy the Vampire Slayer, a popular television series, to explore the concept of critical legal pluralism as improvised law. Read jurisprudentially, the series provides numerous examples of the improvised nature of law as the social construction of legal meaning. A particularly compelling example is the character of Spike. True to the traditional (pre-Twilight, pre-True Blood) genre, Spike is an evil vampire, a demon without a soul whose capacity and appetite for violence have earned him the title of William the Bloody. Yet viewers readily accept a character arc in which Spike, motivated by chivalry (the genre of knights-in-armour, not vampires) vows to protect a human being even at the expense of his own existence. As a law-creating legal subject, Spike is bound by his commitment to both genre-hybridism and the improvised legal meaning of his circumstances; he has made a promise to a lady, and such promises must be kept, even by soulless vampires.

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)0.021
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.586
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.021
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0020.003
Scholarly communication0.0010.002
Open science0.0010.000
Research integrity0.0010.002
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 head0.043
GPT teacher head0.423
Teacher spread0.379 · 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; both teacher heads agree on what is shown here.

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

Citations4
Published2010
Admission routes1
Has abstractyes

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