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Record W3169950524 · doi:10.1111/hith.12212

6. PROXIMATE CAUSATION IN LEGAL HISTORIOGRAPHY

2021· article· en· W3169950524 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueHistory and Theory · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicJudicial and Constitutional Studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsStatuteLegal historyHistoriographyLawLegal realismVariety (cybernetics)CausationLegal formalismTRACE (psycholinguistics)Empirical legal studiesHistoryRhetoricLegal researchComparative lawPolitical scienceBlack letter lawPhilosophyPrivate lawMathematicsLinguistics

Abstract

fetched live from OpenAlex

ABSTRACT The variety of legal history published in general‐interest law journals tends to differ from the variety published in history journals. This study compares the two varieties by examining footnote references in five general‐interest law journals and footnote references in two journals of legal history. In the law journals, cases and statutes accounted for the single largest group of footnotes (approximately 35%), followed by references to other law journal articles (nearly 25%). In the legal history journals, these two categories accounted for less than 20% of all references; primary and secondary historical materials predominated in the footnotes. To be sure, legal decisions and law journal articles can also be historical sources: rather than being used as evidence of what the law is, they might be studied for what they reveal about legal reasoning or rhetoric in an earlier age. However, in most legal historical research that attends primarily to cases and statutes, these materials figure as evidence of the state of the law at that time. When the analysis relies on legal sources to trace the development of a certain doctrine and treats them as sufficient to account for that development, the result is the distinctive style of research that I seek to contrast against approaches that cast the net of historical inquiry more widely. To account for these different approaches, I suggest that law professors rely on a notion of proximate causation as a historiographic method. According to this approach, legal developments are proximately caused by other developments in the legal sphere, and other social and cultural developments play more attenuated roles, such that their influence is less significant. By proposing this explanation, I hope to draw more attention to assumptions about causation in legal historiography and to question their persuasive force.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.891
Threshold uncertainty score0.248

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.018
GPT teacher head0.241
Teacher spread0.223 · 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