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Record W3215313335 · doi:10.3167/hrrh.2021.470301

Bad Custom

2021· article· en· W3215313335 on OpenAlexvenueno aff
Anthony Perron

Bibliographic record

VenueHistorical Reflections/Réflexions Historiques · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicColonialism, slavery, and trade
Canadian institutionsnot available
Fundersnot available
KeywordsJurisprudenceSovereigntyStatuteLawNatural (archaeology)Function (biology)State (computer science)PolitenessSociologyLegal historyPolitical scienceHistoryComputer science

Abstract

fetched live from OpenAlex

The place and function of custom as a species of law—distinguished from custom as simply polite manners or cherished cultural traditions—has long been a source of research and debate among legal theorists and historians. One school of thought, reflecting the authority of written statute in modern jurisprudence, has relegated custom in a juridical sense to “primitive” societies, whereas proper law belongs to a world of state sovereignty. Other scholars have revisited the continuing validity of custom, including a trenchant body of work on the use (and manipulation) of custom in modern colonial regimes. At the same time, some have seen benefits in the acknowledgment of custom as a source of norms. A 2006 collection of articles, for instance, explored ways in which customary law might serve as a better foundation for the sustainable development of natural resources. As David Bederman has written, “Custom can be a signal strength for any legal system—preliterate or literate, primitive or modern.”

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)0.001
metaresearch head score (Gemma)0.004
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: Other · Consensus signal: Other
Teacher disagreement score0.076
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.007
Scholarly communication0.0060.004
Open science0.0000.004
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0760.021

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 head0.058
GPT teacher head0.368
Teacher spread0.310 · 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
GenreOther

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

Citations14
Published2021
Admission routes1
Has abstractyes

Explore more

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