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Record W4387362252 · doi:10.7202/1106682ar

Challenging Nation-Statism

2023· article· en· W4387362252 on OpenAlexvenueno aff
Nitasha Kaul

Bibliographic record

VenueACME · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Refugees, and Integration
Canadian institutionsnot available
Fundersnot available
KeywordsCapitalismScholarshipSociologyPolitical economyState (computer science)PoliticsHegemonyForegroundingColonialismNation statePolitical scienceLaw

Abstract

fetched live from OpenAlex

Critical scholarship can be a way of enacting insurrections against entrenched and enduring dogmatisms of the nation-state and its inalienable right to systematically deploy violence against selective Others. This article focuses upon the violent bordering practices of the nation-statist system, their connexion to the bordering of knowledges, and their impact upon specific kinds of bodies at the border, which together enforce a systemic vulnerability that is tied to legacies of colonialism, slavery, and capitalism. In the first part, I reflect upon the violence of bordering practices in the nation-statist system, foregrounding how those who predominantly receive this violence in the form of death and debility are the racialized Others. I put forth four specific implications of these violent bordering practices: they enable a cascade of interlinked dehumanizations of people within the nation-state borders; they occlude from view how any nation-state is not homogeneous over time in terms of what one might see as national culture; they allow economic processes to be perceived as scientific and abstract rather than as embedded in the realms of contested political jurisdictions; and they render and sustain the nation-state itself as a racialized construct that both produces and profits from class inequality in contemporary capitalism. In the second part, I argue for the need to perceive the link between violent bordering practices and bordered knowledges, highlighting and synthesizing insights from across disciplines that can aid in asking counter-hegemonic questions. In conclusion, and as part of necessary anti-national scholarly enquiry, I call for a multidimensional and sustained critical stance towards the nation-states’ rights to enforce borders.

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)0.009
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.020
Threshold uncertainty score0.089

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.010
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0180.086
Scholarly communication0.0200.015
Open science0.0020.014
Research integrity0.0070.009
Insufficient payload (model declined to judge)0.0080.001

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 head0.052
GPT teacher head0.343
Teacher spread0.291 · 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 designTheoretical or conceptual
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

Citations0
Published2023
Admission routes1
Has abstractyes

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