MétaCan
Menu
Back to cohort

Shades of Xenophobia: In-Migrants and Immigrants in Mizamoyethu, Cape Town

2000· article· fr· W1531524381 on OpenAlexvenueaboutno aff
Belinda Dodson, Catherine Oelofse

Bibliographic record

VenueCanadian Journal of African Studies / Revue canadienne des études africaines · 2000
Typearticle
Languagefr
FieldSocial Sciences
TopicSouth African History and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsXenophobiaPolitical scienceHumanitiesEthnologyImmigrationGeographyHistoryArt

Abstract

fetched live from OpenAlex

L’hostilité des relations entre Africains du sud et immigrants africains est un fait ironique de la période post-apartheid. Mizamoyethu, établissement informel dans le quartier de Hout Bay, au Cap, n’est qu’un des nombreux centres à avoir connu la violence entre les “indigènes” et les “étrangers.” Après avoir souligné l’histoire, la géographie et la démographie de Mizamoyethu, ainsi qu’un compte-rendu du conflit, cet article identifie et explique les forces qui divisent la communauté. Le facteur le plus important s’est révélé être la concurrence pour les emplois, particulièrement dans l’industrie de la pêche locale. Dans le contexte d’une grande pauvreté matérielle et d’un chômage aux proportions inquiétantes, cette concurrence a alimenté la xénophobie et la violence qui en découlent. Les structures du conflit persisteront tant que ne changeront pas les circonstances matérielles, et toute tentative de résoudre le conflit restera, au mieux, un palliatif.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.241
Threshold uncertainty score0.479

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0100.005
Scholarly communication0.0030.002
Open science0.0010.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.029
GPT teacher head0.242
Teacher spread0.213 · 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

Citations39
Published2000
Admission routes2
Has abstractyes

Explore more

Same venueCanadian Journal of African Studies / Revue canadienne des études africainesSame topicSouth African History and CultureFrench-language works237,207