Acculturation and Integration Patterns among Indian and African University Students in South Africa
Bibliographic record
Abstract
South Africa is a country in transition. Apartheid, akin to “ethnic cleansing”, created a siege ingroup mentality. The 1994 democratic elections ushered in the “Rainbow” nation. In this historical context, this exploratory study of acculturation and integration to western culture by young people of non–western origins was conducted. A sample of 63 African and 106 Indian, male and female students at the University of Durban–Westville (now part of the University of KwaZulu–Natal) was administered the Berry Acculturation Scale (1986), Naidoo Measure of Value Preferences (1986), and Triandis Individualism–Collectivism Scale (1990). Questions posed were: (a) What mode of acculturation to western culture do African and Indian students prefer; (b) what values do they admire and adopt from the dominant western individualistic value systems; (c) do these cultural groups retain ancestral collectivist values; and (d) what intergroup social/work contacts occur. Significant findings were obtained based on appropriate ANOVAS for data derived from the two ethnic groups and genders for the three measures used. Both groups shared commonalities, favouring integration of ancestral collectivist and western individualistic values; both expressed selectivity to western values. Both groups desired western education, careers, and opportunity for all, but also wanted to retain core collectivist family values. Indians felt strongly about the retention of religious values; Africans were staunch Christian. Women participants looked to the western culture for new feminist values. Indians had lost their ancestral languages but both shared English. The implications of the commonalities for ethno–gender co–existence in “Rainbow” South Africa have been discussed.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".