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Record W4284888146 · doi:10.1163/2208522x-02010148

‘The Effect of London’: Urban Atmospheres and Alice Meynell’s London Impressions

2022· article· en· W4284888146 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEmotions History Culture Society · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicHistorical Influence and Diplomacy
Canadian institutionsMcGill University
Fundersnot available
KeywordsAtmosphere (unit)VocabularyAlice (programming language)LiteratureArtArt historyMeteorologyPhilosophyLinguisticsPhysics

Abstract

fetched live from OpenAlex

Abstract This essay examines urban atmospheres and emotions in the 1898 essay collection London Impressions by British writer, poet and suffragist Alice Meynell. I argue atmospheres are spatialised emotions and investigate the atmospheric dimension of Meynell’s text and her impressions , through a vocabulary of immersion and movement. Within her own manipulation of a ‘visual’ vocabulary, Meynell transforms impressions into atmospheres, the visual into sensorial, moving from the painterly to atmospheric experience, notably through the medium of fog and smoke and other climate indicators. I argue urban atmospheres are the main feature the text brings forth (even through – and perhaps especially because of – the filter of the written word). By probing the application of the history of emotions’ methodologies within architectural and urban history, I argue the concept of ‘atmosphere’ is a productive analytical category to examine visual and textual sources.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.287
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0040.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.011
GPT teacher head0.272
Teacher spread0.262 · 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