Trust is personal <i>and</i> professional: The role of trust in the rise and fall of a South African civil society coalition
Bibliographic record
Abstract
This article explores trust dynamics among a coalition of civil society organizations called Unite Behind that formed in Cape Town, South Africa, in late 2017. Unite Behind was established to demand more accountability from a state marred by corruption—and specifically for the resignation of then President Jacob Zuma. When Zuma resigned, the coalition attempted to transition to a social movement campaigning for social justice but declined as a coalition into an organization of sorts. Taking trust as a positive belief in the reliability, truth or ability of an actor or entity, this article argues that conceptions of political and social/generalized trust are of less importance in explaining the rise and fall of Unite Behind than a combination of personal trust in particular leaders, and a form of particularized trust, namely, trust in other organizations. This notion of organizational trust as a form of particularized trust is of potential wider importance to the analysis of civil society network co-ordination.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".