Understanding and Addressing Vulnerability Following the 2010 Haiti Earthquake: Applying a Feminist Lens to Examine Perspectives of Haitian and Expatriate Health Care Providers and Decision-Makers
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Vulnerability is a central concept in humanitarian aid. Discussions of vulnerability in disaster response literature and guidelines for humanitarian aid range from considerations of a universal human vulnerability, to more nuanced examinations of how particular characteristics render individuals more or less at risk. Despite its frequent use, there is a lack of clarity about how vulnerability is conceptualized and how it informs operational priorities in humanitarian assistance. Guided by interpretive description methodology, we draw on the feminist taxonomy of vulnerability presented by Mackenzie, Rogers and Dodds (2014) to examine perspectives of 24 expatriate and Haitian decision-makers and health professionals interviewed between May 2012 and March 2013. The analysis explores concepts of vulnerability and equity in relation to the humanitarian response following the 2010 earthquake in Haiti. Participants' conceptualizations of vulnerability included consideration for inherent vulnerabilities related to individual characteristics (e.g. being a woman or disabled) and situational vulnerabilities related to particular circumstances such as having less access to health care resources or basic necessities. Participants recognized that vulnerabilities could be exacerbated by socio-political structures but felt ill-equipped to address these. The use of the taxonomy and a set of questions inspired by Hurst's (2008) approach to identifying and reducing vulnerability can guide the analysis of varied sources of vulnerability and open discussions about how and by whom vulnerabilities should be addressed in humanitarian responses. More research is required to inform how humanitarian responders could balance addressing acute vulnerability with consideration of systemic and pre-existing circumstances that underlie much of the vulnerability experienced following an acute disaster.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 it