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Record W4237895129 · doi:10.3138/jsp.44.2.002

The <i>Wisconsin Magazine of History</i>: A Case Study in Scholarly and Popular Approaches to American State Historical Society Publishing, 1917–2000

2012· article· en· W4237895129 on OpenAlexvenueno aff
Ryan Schumacher

Bibliographic record

VenueJournal of Scholarly Publishing · 2012
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicAmerican History and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsProfessionalizationState (computer science)PublishingEliteAppealComparative historical researchSociologyBusiness historyHistoryLawMedia studiesSocial sciencePolitical scienceEconomic historyPolitics

Abstract

fetched live from OpenAlex

This article examines the history of American historical societies by focusing on the Wisconsin Magazine of History (WMH), published by the State Historical Society of Wisconsin (now known as the Wisconsin Historical Society). The first half of the paper relates the history of American state historical societies and their publishing ventures until the founding of the WMH in 1917. The first American state historical societies were private organizations of elite men, and their publications were meant to notify similar organizations of their proceedings. The advent of public state historical organizations opened membership to a much broader segment of society, but the professionalization of the study of history in the late nineteenth century brought about a more rigorous approach to the writing of history. Throughout the twentieth century, the SHSW and similar organizations have sought to balance an appeal to a broad public and a scholarly approach to history in publications such as the WMH. By examining issues of the WMH from 1917 to 2000, as the author has done in the second half of the paper, one can see how the publication, with audiences clearly in mind, tilted toward one side of this balance or the other in its design and content.

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

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmaScholarly communication
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Qualitativehigh
gptScholarly communication
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Qualitativehigh
models agreeAgreement compares identical category sets and study designs across arms.

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)0.009
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication, Research integrity
Consensus categoriesScholarly communication
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.675
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0190.177
Open science0.0010.000
Research integrity0.0000.003
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 head0.081
GPT teacher head0.232
Teacher spread0.152 · 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

Labeled directly by 2 models reading the full record.

Study designQualitative
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

Citations0
Published2012
Admission routes1
Has abstractyes

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