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Record W4383723701 · doi:10.1080/08865655.2023.2226404

Dispossession, Border and Exception in South Asia: An Introduction

2023· article· en· W4383723701 on OpenAlexvenueno aff
Nasreen Chowdhory, Biswajit Mohanty

Bibliographic record

VenueJournal of Borderlands Studies · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Refugees, and Integration
Canadian institutionsnot available
Fundersnot available
KeywordsPoliticsHegemonyPolitical economySociologyNarrativeCorporate governancePolitical scienceForcing (mathematics)Law

Abstract

fetched live from OpenAlex

Dispossession can be examined from various vantage points across disciplines. Dispossession is a condition that overturns self-sufficiency by forcing individuals and communities to be dependent. The dependency remains on a "mode of governance and a legal regime that confers and sustains those rights” (Butler 2013, 4). Being dispossessed indicate that the subjects are disowned and degraded by normalising powers active in the society, where the subjects are differentiated. The differentiation is manifested in varied conceptions of development and under-development, of dislocated and "counter-hegemonic subjects." This epistemic distinctions remains the basis for spaces of border formation. However, dispossession is a layered activity that involves multiple actors. It is imperative to unpack layers of dispossession to unravel complex border formation. Thus taking dispossession as the central category of analysis, the contributors in the special issue have examined the complex and layered relationship between dispossession and (b)ordering processes to demonstrate overlapping dominations and subjugations: at (in)security, psycho-social, cultural, political, and economic realms. It attempts to unravel mechanisms of contentious politics of dispossession and the “narratives of encounters” of collective imaginations within a relational framework. In the process, it tries to unfold historical processes and political dynamics of exclusion that constitutes internal and external border practices in acts of dispossession.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.265
Threshold uncertainty score0.399

Codex and Gemma teacher scores by category

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

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 head0.028
GPT teacher head0.374
Teacher spread0.345 · 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 teacher head, 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

Citations3
Published2023
Admission routes1
Has abstractyes

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