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Record W2408901306 · doi:10.1080/08865655.2016.1188666

The Beitbridge–Mussina Interface: Towards Flexible Citizenship, Sovereignty and Territoriality at the Border

2016· article· en· W2408901306 on OpenAlexvenueno aff
Inocent Moyo

Bibliographic record

VenueJournal of Borderlands Studies · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicCross-Border Cooperation and Integration
Canadian institutionsnot available
Fundersnot available
KeywordsTerritorialityCitizenshipSovereigntyIndependence (probability theory)De factoPolitical scienceColonialismConventionPolitical economyLawSociologyPolitics

Abstract

fetched live from OpenAlex

Located at the border between South Africa and Zimbabwe, the Beitbridge border post aptly demonstrates border citizenship from below. Established as a result of the London Convention of 1884, the border between South Africa and Zimbabwe finds expression at the Beitbridge border post. However, Venda-speaking people on both sides of the border post who were “separated” when the border was drawn have always engaged in dynamic and agentive ways that defy the existence of the border. This interaction pre-dated and survived the colonial and apartheid years in the then Southern Rhodesia and South African Republic, respectively. After both countries attained independence, they have remained blind to the reality of border citizens. Consequently, the fact that Venda-speaking people have—against strict and successive regulatory regimes from colonial to postcolonial times—“defied” the border and continue to do so, establishes a case of their being de facto border citizens. This not only challenges the inflexible territoriality of citizenship at both the South African and Zimbabwean borders, but also presents a compelling case for the recognition of border citizens and the granting of easy and controlled movement based on best practices in other parts of the world.

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)0.003
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 score0.017
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.026
Scholarly communication0.0110.009
Open science0.0010.012
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0050.000

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 head0.042
GPT teacher head0.404
Teacher spread0.362 · 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

Citations27
Published2016
Admission routes1
Has abstractyes

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