FAITH IN THE NEOLIBERALISATION OF POST‐KATRINA NEW ORLEANS
Bibliographic record
Abstract
ABSTRACT Though it has been over four years since Hurricane Katrina ravaged the physical and social geography of the gulf coast in the United States, a great deal of literature still continues to emanate from this event. Much of this literature focuses on how the event embodied a neoliberalised state reaction to the crisis – heavily reliant on charities while actively promoting claims about the government's weakness in the face of such events. Though this literature is useful, it has generally not covered the role of religious charities and their role in the putative neoliberalisation of New Orleans. This paper attempts to explore the role of religious NGOs in the reconstruction of New Orleans. The intent is twofold: first to improve our understanding of this important event; and second to improve our understanding of the complicated role that Faith‐based organisations have played within neoliberal politics and praxis in the United States.
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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 | 0.002 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".