(Re)creating community: Experiences of Older Women Forcibly Relocated During Apartheid
Bibliographic record
Abstract
ABSTRACT This article explores sense of community with a group of older African women, who were forcibly relocated during apartheid. The situation of a marginalised group, with a history of disconnection from younger generations and from place, provides an opportunity to consider the relevance of community in later life. The research was conducted at a day centre for older people in the North West Province of South Africa, more than 50 years after forced relocations took place. Eleven older women (70 years and older) participated. Qualitative data were obtained through visual research methods and group discussions and were thematically analysed. Findings were that place and sense of belonging as well as elements of community were relevant. Participants reported limited connections to place in either childhood or current communities. Post relocation, a sense of belonging was expressed only in relation to a shared‐interest community of peers that addressed their needs for safety, emotional support and instrumental care. Also, generational relations were strained, giving rise to a sense of loss of a community where both young and old were responsible for each other. Constrained resource communities have a profound impact on opportunities to create a sense of belonging. © 2013 The Authors. Journal of Community & Applied Social Psychology published by John Wiley & Sons Ltd.
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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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.015 | 0.011 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.002 | 0.011 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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".