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Razor in The Apple

2002· book-chapter· en· W4388378763 on OpenAlexaboutno aff
Nicholas Rogers

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldArts and Humanities
TopicFolklore, Mythology, and Literature Studies
Canadian institutionsnot available
Fundersnot available
KeywordsNaggingCharacter (mathematics)Art historyPerformance artVisual artsArtMedia studiesAdvertisingHistoryGlobeSociologyPsychology

Abstract

fetched live from OpenAlex

Abstract If the 1920s saw the emergence of Halloween as a genuinely North American holiday and one that was becoming something of a boon for shopkeepers and manufacturers, there remained the nagging problem of just how wild it would be. The concerns voiced by the Montreal Gazette in 19m about the “unhallowed” character of Halloween were not ones that simply disappeared. In fact, the conventions of rascality that invigorated turn-of-the-century Halloween took a long time to die. While youngsters would dress up in fancy costumes and masquerade in the streets, visiting houses for various treats, their older brothers would indulge in a different kind of devilry. As the Star quite casually reported of one small town east of Toronto: “Hallowe’en spirit held full sway in Whitby last night. Many a citizen found his veranda furniture hanging from spikes on telephone poles, while a number of gates were removed and steps taken away.”

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)0.001
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 score0.037
Threshold uncertainty score0.123

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.012
Scholarly communication0.0080.007
Open science0.0010.003
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0370.008

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 head0.038
GPT teacher head0.222
Teacher spread0.184 · 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

Citations0
Published2002
Admission routes1
Has abstractyes

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