MétaCan
Menu
Back to cohort
Record W2810139179 · doi:10.18192/rceh.v41i3.1738

The Littered City: Trash and Neoliberal Urban Space in El aire, Bariloche, and La villa

2017· article· es· W2810139179 on OpenAlexvenueno aff
Micah McKay

Bibliographic record

VenueRevista Canadiense de Estudios Hispánicos · 2017
Typearticle
Languagees
FieldSocial Sciences
TopicLatin American Literature Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesUrban spacePolitical scienceSociologyArtRegional science

Abstract

fetched live from OpenAlex

En este artículo, analizo el papel de la basura en la representación del espacio urbano en tres novelas argentinas escritas durante un período de implementación intensiva de políticas neoliberales en ese país: El aire de Sergio Chejfec, Bariloche de Andrés Neuman y La villa de César Aira. Considero la manera en que los desechos sirven tanto para consolidar como para interrumpir la coherencia de los espacios representados en las novelas en cuestión. Propongo, además, que la presencia de la basura en estos textos funciona como un indicio del impasse temporal que genera el neoliberalismo.

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)0.003
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 score0.038
Threshold uncertainty score0.076

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0120.023
Scholarly communication0.0090.005
Open science0.0010.004
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0070.000

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 head0.010
GPT teacher head0.277
Teacher spread0.267 · 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

Citations2
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueRevista Canadiense de Estudios HispánicosSame topicLatin American Literature StudiesFrench-language works237,207