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Record W4402320523 · doi:10.3390/su16177758

The Evolution and Sustainability of Environmental Health Services in the Azraq Refugee Camp, Jordan: A Qualitative Study

2024· article· en· W4402320523 on OpenAlexaff
Nikki Behnke, Brandie Banner Shackelford, Amjad Dawood, Rachel A Oommen, Raymond Tu, Mariëlle Snel, Iyad Al Samawi, Samer Talozi, Darcy M. Anderson, Ryan Cronk, Jamie Bartram

Bibliographic record

VenueSustainability · 2024
Typearticle
Languageen
FieldEnvironmental Science
TopicMunicipal Solid Waste Management
Canadian institutionsWestern University
FundersNational Institute of Environmental Health Sciences
KeywordsSustainabilityRefugeeQualitative researchEnvironmental planningEnvironmental healthGeographyEnvironmental resource managementEngineeringSociologyMedicineEnvironmental scienceArchaeologyEcologySocial scienceBiology

Abstract

fetched live from OpenAlex

The Syrian civil war displaced more than half of the Syrian population, including over 660,000 registered refugees who fled to neighboring Jordan. Environmental health services (e.g., water, sanitation, hygiene, and solid waste management) are critical for refugee health. Still, they may strain resources in host communities and must evolve in protracted crises. We studied environmental health services in the Azraq refugee camp in Jordan to identify the stakeholders and their roles in service provision, assess stakeholder communication and coordination, and evaluate sustainability. We conducted 25 interviews with stakeholders involved in environmental health service provision. We found that non-governmental and United Nations organizations had well-defined responsibilities, but the roles of donors, the Jordanian government, refugees, and the host community needed clarification. Conflicting standards and mismatched donor expectations with on-the-ground needs sometimes created challenges for coordinated and efficient service provision. The basic needs of refugees were generally met and services improved somewhat over time, but political obstacles and inadequate resources complicated the path toward sustainable services. Early incorporation of sustainability in planning and increased efforts to build the capacity of refugees to contribute and take ownership of environmental health services will likely enhance long-term environmental health service provision and development outcomes.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.128
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.007
GPT teacher head0.312
Teacher spread0.305 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations4
Published2024
Admission routes1
Has abstractyes

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