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Record W2047437821 · doi:10.1080/1755182x.2010.528563

An English Chautauqua: the National Home Reading Union and the development of rational holidays in late Victorian Britain

2010· article· en· W2047437821 on OpenAlexaboutno aff
Robert Snape

Bibliographic record

VenueJournal of Tourism History · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicNight-time city culture
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)Reading (process)Ideal (ethics)HistorySociologyEconomic historyLawPolitical scienceArchaeology

Abstract

fetched live from OpenAlex

The success of the Chautauqua Assembly in providing educational holidays in North America in the final quarter of the nineteenth century raised interest in the development of a similar type of holiday in Great Britain. Following the establishment of university extension summer schools, which were themselves influenced by the example of Chautauqua, the Congregationalist social reformer John Brown Paton organised such a holiday in 1889 under the auspices of the National Home Reading Union in Blackpool, a popular seaside resort in the north of England. Adopting the values and practices of the Chautauqua Assembly, this combined informal education, non-conformist Christian morality and socially respectable leisure activities. Although not successful in establishing an English Chautauqua in Blackpool, Paton later mediated the Chautauqua ideal through his sponsorship of the Co-operative Holidays Association, a pioneer organisation in the development of rational holidays. It is argued that both the Chautauqua movement and the National Home Reading Union exercised a crucial influence on the development of rational and respectable holidays in Britain that has not previously been fully recognised.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.234
Threshold uncertainty score0.465

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0080.005
Scholarly communication0.0030.001
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.013
GPT teacher head0.256
Teacher spread0.243 · 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 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

Citations6
Published2010
Admission routes1
Has abstractyes

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