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Record W4408530773 · doi:10.1080/10383441.2025.2477943

Deportation of aliens from South Africa: state practise and state power

2025· article· en· W4408530773 on OpenAlexaff
Funmi Abioye, Cristiano d’Orsi

Bibliographic record

VenueGriffith Law Review · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicMigration and Labor Dynamics
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsDeportationState (computer science)Power (physics)Project commissioningLawPolitical sciencePublishingCriminologyImmigrationSociologyComputer science

Abstract

fetched live from OpenAlex

Migration has become a global phenomenon that has taken centre stage over the years. With increasing international migration, the powers of states to control access to, and to control those who stay within their territories are also further enhanced. Once South Africa emerged from its apartheid past, it became a destination of choice for people all over Africa. Migrants flocked into the country in huge numbers, almost overwhelming the system. The South African government has responded with a securitised approach to control immigration into its territory, including the increased powers to deport illegal migrants. The power to deport, while an exercise of state sovereignty, must however be exercised in line with international and constitutional safeguards. As South Africa continues to grapple with its immigration challenge, this research gives a broad overview of the legal framework governing detention and deportation in South Africa, and its implementation.

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.031
Threshold uncertainty score0.061

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0040.010
Scholarly communication0.0040.002
Open science0.0010.004
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.017
GPT teacher head0.307
Teacher spread0.290 · 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 designNot applicable
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
Published2025
Admission routes1
Has abstractyes

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