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Record W4322485592 · doi:10.23860/mgdr-2022-07-04-02

Privileging Localism and Visualizing Nationhood in Anti-Consumption

2022· article· en· W4322485592 on OpenAlexaff
Rohit Varman, Russell W. Belk

Bibliographic record

VenueMarkets Globalization & Development Review · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicAnarchism and Radical Politics
Canadian institutionsYork University
Fundersnot available
KeywordsLocalismNationalismConsumption (sociology)Privilege (computing)StatismAuthoritarianismPoliticsSociologyPolitical scienceAestheticsDemocracySocial scienceLawArt

Abstract

fetched live from OpenAlex

The main aim of this research is to understand the genesis and nature of an anti-consumption movement in India and its emphasis on nationalism through localism. This research adopted a case study design, including in-depth interviews and discursive analysis. Through a historical analysis this research shows the influence of anarchist political philosophy in a contemporary anti-consumption movement. It demonstrates that anti-consumption is inflected with discourses of freedom, anti-authoritarianism, and anti-statism, which are central to the anarchist conception of localism. This research shows that anti-consumption movements in India use consumption objects to privilege local over both national and international. This helps to expand the framework of product-place-images and country-of-origin effects by showing how nationalism can become anti-nationalist in an anti-consumption discourse. It further helps to differentiate anti-consumption from consumer resistance as a deeper systemic challenge to consumerist lifestyle and consumer culture.

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)0.003
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0020.015
Scholarly communication0.0060.004
Open science0.0010.005
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.023
GPT teacher head0.328
Teacher spread0.305 · 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 designObservational
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

Citations3
Published2022
Admission routes1
Has abstractyes

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