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Record W4392219498 · doi:10.1017/9789048551934.002

The Stock Exchange as a Space of Modernity and Labour of Representation

2023· other· en· W4392219498 on OpenAlexaff
Owen Lyons

Bibliographic record

Venuenot available
Typeother
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Development and Digital Transformation
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsModernityRepresentation (politics)Stock exchangeSpace (punctuation)EconomicsEpistemologyPolitical scienceLinguisticsPhilosophyFinanceLaw

Abstract

fetched live from OpenAlex

: Chapter 1 establishes central debates and cultural codes specific to the context of this study – in particular the close association of finance capital with anxieties surrounding France, Jews, and the importance of the historical separation of gambling from speculation. It lays the groundwork for the critical examination of these codes in Weimar cinema. This chapter also lays out two key claims: firstly, that stock exchanges have been overlooked as central spaces of modernity alongside more canonical examples such as the late nineteenth-century shopping arcade, the railroad, the street, and the cinema; and secondly, that financial markets are engaged in the creation of an image of the world – a labour of representation – the history of which parallels the development of the cinema itself. Keywords: Speculation and Gambling, Finance Capital, Imperial Germany, Architecture and Urban Space, Modernity and Cinema, Nineteenth- Century Globalization The Stock Exchange as a Space of Modernity Introduction Before moving to a discussion of the cinema of the Weimar Republic, the primary goal of this chapter will be to show how the stock exchange should be considered a central space of modernity within the ranks of other key spaces, such as the cinema and the arcade, that have been outlined in the introduction. In order to do this, I will begin in the nineteenth century and describe some of the salient architectural and historical features of German exchanges and, in particular, the ways in which the official exchanges interacted with both the unofficial Winkelbörsen (‘bucket shops’) and the space of the city, and Berlin in particular. I show how this architectural and spatial history intersects with cultural codes and practices surrounding gambling, speculation and the production of the boundaries of the nation itself. I will then discuss how, already in the nineteenth century, the spatial and cultural practice surrounding financial activity constituted a vast labour of representation – the creation of an image of the world economy and its inhabitants – to which the films under discussion in later chapters would become a part. This groundwork provides the essential cultural context in which the tropes and codes of the films and texts examined in later chapters become suddenly and vividly legible. In addressing these key developments of the nineteenth century, I also aim to recount a history of spaces and spatial practices that have been overlooked within the discourse of modernity and the city.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.005
Scholarly communication0.0040.002
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.050
GPT teacher head0.241
Teacher spread0.191 · 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 designNot applicable
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".

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Citations0
Published2023
Admission routes1
Has abstractyes

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