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Record W4390346631 · doi:10.1080/08865655.2023.2296058

The Border as a Humanized Space: (Un)making Territoriality and Spatiality of State Boundary

2023· article· en· W4390346631 on OpenAlexvenueno aff
Nasir Uddin

Bibliographic record

VenueJournal of Borderlands Studies · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicAsian Geopolitics and Ethnography
Canadian institutionsnot available
Fundersnot available
KeywordsTerritorialityState (computer science)SociologyPoliticsSpace (punctuation)Boundary (topology)Political economyLawPolitical scienceLaw and economics

Abstract

fetched live from OpenAlex

The classical notion of the border essentially denotes a state boundary as a spatial and territorial entity that connects and separates two states in terms of a physical lineup. However, many scholars believe in its fixity while others point out its mobility. Some think of the border as a vibrant space while others look at it as zones of limited statehood. Some advocate the idea of the border to overcome the social and political division while others sense the border in terms of territoriality to retain the division. Some researchers look upon it as a form of practice terming it “borderscape” while others say the border is a method to understand intersectionality. Some focus on the border as a force for controlling people and goods across borders. Given the background, the paper intends to redefine and retheorize the border proposing an alternative lens to see its humanitarian role in rescuing and saving lives in atrocious and deadly conditions with the case of the Rohingya experience in the Bangladesh-Myanmar border. This paper argues that the border is not only a territorial and spatial entity with strict authority, power and force but also a humanized space for people in atrocious conditions.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.455
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
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 head0.033
GPT teacher head0.391
Teacher spread0.358 · 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.

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

Citations5
Published2023
Admission routes1
Has abstractyes

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