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Record W3095421197 · doi:10.1093/llc/fqz082

From antagonist to protagonist: ‘Democracy’ and ‘people’ in British parliamentary debates, 1775–1885

2019· article· en· W3095421197 on OpenAlexaff
Hugo Bonin

Bibliographic record

VenueDigital Scholarship in the Humanities · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Theory and Influence
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsDemocracyParliamentPoliticsPower (physics)LawPolitical scienceSociology

Abstract

fetched live from OpenAlex

Abstract ‘Democracy’ is a central word of our current political lexicon, often defined as ‘the power of the people’. However, in 19th century Britain, ‘democracy’ was not characterized by the rule of the ‘people’ but by the power of lower classes, of the ‘populace’ and the ‘mob’. In political discourse, and especially in parliamentary debates, the ‘people’ were an antagonist of ‘democracy’, not its protagonist. To support these statements, this article analyses British parliamentary debates between 1775 and 1885, through both a ‘distant reading’ with the help of corpus linguistics tools and a closer examination of certain key debates and actors. After a brief overview of the methodology, three crucial periods of British political history are analysed. (1) The end of the 18th century, where the impact of the French Revolution on democratic vocabulary is measured. (2) The debates surrounding the 1832 Reform Act, in which the explicit differentiation between the constitutional ‘people’ and the democratic ‘mob’ is drawn out by Whigs and Tories alike. (3) The Second Reform Act (1867), also presented as a ‘popular’ measure, and not a step towards ‘democracy’. In conclusion, the adoption of the democratic vocabulary by British Members of Parliament is traced to the 1880s, notably with the emergence of the idea of ‘Tory democracy’.

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)0.003
metaresearch head score (Gemma)0.006
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 score0.252
Threshold uncertainty score0.501

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0050.007
Science and technology studies0.0070.013
Scholarly communication0.0070.003
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0080.001

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 head0.026
GPT teacher head0.283
Teacher spread0.257 · 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

Citations5
Published2019
Admission routes1
Has abstractyes

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