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In the Waiting Line

2023· article· en· W4404182428 on OpenAlexfundno aff
Étienne Ollion, Dimitri Charrel

Bibliographic record

Venue.able. · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicCritical Theory and Political Philosophy
Canadian institutionsnot available
FundersUniversity of California, Los AngelesKwame Nkrumah University of Science and TechnologyUniverza v LjubljaniFondation Daniel et Nina CarassoUniversidade de LisboaHumboldt-Universität zu BerlinYork UniversityRoyal College of ArtUniversidad de Buenos AiresUniversité du Québec à MontréalConcordia UniversityUniversidad Nacional Autónoma de MéxicoUniversidade de BrasíliaUniversiteit MaastrichtUniversidad Complutense de MadridUniversity of TorontoMalmö HögskolaUniversity of VictoriaUniversity of Toronto MississaugaCity University of Hong Kong
KeywordsLine (geometry)Computer scienceMathematicsGeometry

Abstract

fetched live from OpenAlex

Our societies are built around waiting. At the bus stop, at the doctor's, in a store, in government offices, on the phone for help, this exercise in patience structures our lives. It is so prevalent that we forget that it affects us daily. Waiting is also unequal. The rich wait less than the poor: they see their requests granted immediately, while the latter defer their wants, often for a long time, sometimes indefinitely. It is a way of demonstrating that one person's time is more important than that of someone else who is being kept waiting; it is to wield power. And yet, even among the elite, it is sometimes necessary to wait. Achieving political power takes time, sometimes a lot of time. A recent study by Étienne Ollion (2021), which serves as the basis for this visual essay, showed that to become a Member of Parliament, it takes years, sometimes decades, of prior involvement in politics. Hence, the idea of representing the path to the top of the power pyramid as a long queue. The image is compelling. It is also a useful means for grasping a series of phenomena at play in politics. The existence of such a queue imposes a selection process that favors certain profiles and excludes others. Because they skew representation in favor of the upper classes, and because they also increase the discriminatory nature of the political field, waiting lines act as a filter. The essay describes the various stages at which the filter is imposed. It also has a homogenizing effect: because it socializes those who wait in it, the queue makes individuals more alike—in their ways of thinking, speaking, and even dressing. Toward the end of the essay, we see that individuals increasingly come to resemble one another. Finally, the queue individualizes: because it pits people against each other for the few available positions, it encourages self-serving strategies and betrayal. Thus, it is no surprise that they are over-represented at the summits of the Palais Bourbon (home to France's National Assembly). Conversely, members of the working classes, who represent half of the active population, are virtually absent at the top. In the Waiting Line is a visual essay that seeks to describe contemporary politics through the device of a queue. Through a stylized form it illustrates the various mechanisms that produce the homogeneous political class that governs us. The essay makes use of the format provided by .able to convey its process-driven nature, while deliberately emphasizing its stylized aspect. Based on politics, this study aims to draw attention to the everyday mechanisms that discreetly guide our practices. In the Waiting Line is produced using the scroll.able format, adapted to the highly interdisciplinary nature of the project. Indeed, visual art and design (Dimitri Charrel, Lorène Gaydon) are necessary for creating the dynamic means of representing these social organizations, which sociologist Étienne Ollion analyzed in his most recent book.

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)0.002
metaresearch head score (Gemma)0.007
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: Other · Consensus signal: Other
Teacher disagreement score0.066
Threshold uncertainty score0.221

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0160.012
Scholarly communication0.0120.013
Open science0.0010.007
Research integrity0.0050.008
Insufficient payload (model declined to judge)0.0660.015

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 head0.103
GPT teacher head0.412
Teacher spread0.309 · 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
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
Published2023
Admission routes1
Has abstractyes

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