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‘I learned to speak’

2020· book-chapter· en· W4239002177 on OpenAlexaboutno aff
Emma Griffin

Bibliographic record

VenueYale University Press eBooks · 2020
Typebook-chapter
Languageen
FieldSocial Sciences
TopicIrish and British Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPrerogativePoliticsPower (physics)Working classGender studiesPolitical scienceTransition (genetics)Balance (ability)Period (music)Quarter (Canadian coin)SociologyPolitical economyLawPsychologyHistoryAestheticsArt

Abstract

fetched live from OpenAlex

This chapter explores citizens' engagement in politics. Indeed, politics was the single largest preoccupation of the male autobiographers: more than one-quarter of the male writers reported having been involved in some form of political movement or organisation. The movements they joined were almost exclusively on the left of the political spectrum and as such they promoted not only social mobility for the specific individuals who joined them but also the collective interests of working people as a whole. They were thus part of a larger transition that occurred between the 1860s and 1930s, which saw the wrangling of political power out of the hands of the social elites who had traditionally claimed it as their special prerogative. This marked a permanent break from the old regime with working men both claiming and starting to exercise a right to participate in the nation's political machinery. But though this development involved a shift in the balance of power between social classes, like all elements of Britain's cultural and economic life during this period, this transition was gendered in nature. Power was tilting towards working-class men, but working-class women remained firmly on the fringes.

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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.322
Threshold uncertainty score0.958

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 head0.048
GPT teacher head0.246
Teacher spread0.198 · 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
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
Published2020
Admission routes1
Has abstractyes

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