Learning from community narratives about the COVID-19 pandemic in Papua New Guinea
Bibliographic record
Abstract
In this paper we use constructivism to explore community members' accounts of how socio-cultural and behavioral factors provided meaning to the COVID-19 pandemic in Papua New Guinea, adherence to "niupela pasin" (new normal), and vaccination acceptance. We purposively selected 50 participants including community members, leaders, and church representatives for semi-structured interviews from urban and rural areas of Madang and Eastern Highlands Provinces. Data were analyzed using inductive thematic analysis. The findings showed how people applied risk prevention strategies and actively sought localized solutions to deal with the pandemic. The pandemic also disrupted socio-cultural norms, such as communal gatherings, care for the sick, and attending funerals, leading to distress and interruptions of interpersonal relationships and extended family structures. Economic hardship, particularly during lockdowns, disproportionately affected those people from lower socioeconomic levels. Strong Christian faith and prayer played a key role in either adhering to "niupela pasin" and COVID-19 vaccine acceptance or rejection of the vaccine. Conspiracy theories and misinformation often propagated through social media, fueled fears and doubts about vaccine efficacy. By articulating and understanding these culturally informed findings, the paper demonstrates how people undertook ordinary theorizing about their worlds to contextualize, modify, or significantly change the policies and strategies developed by experts using conventional science. Preparation for future pandemics can be enhanced by adding to public health policies and guidelines community perspectives and health promotion principles from the Ottawa Charter for Health Promotion.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".