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Independent and sectarian: working-class English associational culture

2017· book-chapter· en· W4246463032 on OpenAlexaboutno aff
Tanja Bueltmann, Donald M. MacRaild

Bibliographic record

VenueManchester University Press eBooks · 2017
Typebook-chapter
Languageen
FieldSocial Sciences
TopicIrish and British Studies
Canadian institutionsnot available
Fundersnot available
KeywordsEthnic groupSolidarityIrishClass consciousnessHomelandEliteWorking classSociologyGender studiesContext (archaeology)Political scienceLawPoliticsHistoryLinguistics

Abstract

fetched live from OpenAlex

This chapter moves beyond the St George’s societies that scholars portray as proof that the English principally indulged in elite civic activism rather than ethnic behaviour. A second tier of English association developed in the 1870s catering specifically for independent working class migrants. The Order of the Sons of St George (OSStG; 1870) and the Sons of England (1874) represented something different. Clearly, working-class Englishmen and women in the US and Canada felt the need for another type of organization—one whose fees they could afford, something that provided them with mutual aid. These English ethnic friendly societies drew upon homeland traditions. In the US, they also took shape with an American culture of associating. Such organizations were structured by the imperatives of class solidarity and ethnic togetherness. Indeed, ethnicity also sponsored (and was sponsored by) tension and competition with the Irish. This chapter traces these developments with a particular view to the context in which they were founded, and where they were set up. The OSStG, for instance, came about in part as a coordinated response to a heightened ethnic consciousness.

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 categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.430
Threshold uncertainty score1.000

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 studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.224
Teacher spread0.196 · 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.

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
Published2017
Admission routes1
Has abstractyes

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