MétaCan
Menu
Back to cohort
Record W2585288741 · doi:10.4148/2475-7799.1070

The Intercollegiate Code of Academic Costume: An Introduction

2009· article· en· W2585288741 on OpenAlexaboutno aff
Stephen L. Wolgast

Bibliographic record

VenueTransactions of the Burgon Society · 2009
Typearticle
Languageen
FieldArts and Humanities
TopicFashion and Cultural Textiles
Canadian institutionsnot available
FundersVassar College
KeywordsCode (set theory)Repetition (rhetorical device)HistoryDress codeWork (physics)SociologyClassicsComputer scienceLinguisticsPhilosophyEngineeringProgramming languageSet (abstract data type)

Abstract

fetched live from OpenAlex

The modern academic dress of American universities and of some in Canada is based on or departs from the 1895 Intercollegiate Code of Academic Costume, which lives on as the Academic Costume Code. Researchers who describe a North American university’s cap and gown often look into the history of the Code and review the familiar story of its beginnings; they also uncover forgotten elements of the Code’s development. Five of the authors in this volume describe the Code in their articles. The editors believe that instead of printing each history in its respective author’s paper, inde-pendently of the others, a single paper that synthesizes the main points from each article into one makes a stronger whole and eliminates repetition. This paper is largely the work of Donald Drakeman and Stephen Wolgast. Drakeman’s work is taken from his paper ‘Peculiar Habits’; Wolgast’s work comes from his paper ‘King’s Crowns’ and additional research. Their observations are supplemented by the work of Robert Armagost, David Boven, and John Grant. To help identify the work of each author, footnotes are preceded by his initials (unless he is otherwise identified). This article was prepared by Wolgast; as much as possible the authors’ original writing remains unaltered except where transitions are necessary. Footnotes are nearly untouched except to add fuller citations. [Excerpt].

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.593
Threshold uncertainty score0.432

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 studies0.0010.000
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 head0.028
GPT teacher head0.259
Teacher spread0.230 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations8
Published2009
Admission routes1
Has abstractyes

Explore more

Same venueTransactions of the Burgon SocietySame topicFashion and Cultural TextilesFrench-language works237,207