Willingness to get vaccinated against Ebola: A mapping of Guinean people positions
Bibliographic record
Abstract
OBJECTIVE: To map the different personal positions of Guinean people regarding vaccination against Ebola. METHODS: From January to April 2016, 304 adults in Guinea were presented with 48 vignettes depicting situations in which getting vaccinated would be possible. These situations varied as a function of the constructs of health-protective behavior theories. The participants indicated the likelihood they would get vaccinated in each case. RESULTS: Seven qualitatively different positions were found: Always Vaccinate (38%), Never Vaccinate (25%), Hesitant (19%), Depends on Cost Only (7%), Depends on Neighbors' Attitude and Cost (5%), Mainly Depends on Risk (4%), and Mistrust of Cheap Vaccines (2%). CONCLUSION: The diversity of Guinean people's positions implies that Ebola vaccination campaigns in Guinea, and probably in other sub-Saharan African countries, must not be "one size fits all," but must be multifaceted and tailored in design and implementation to match the diversity of these people's needs and views.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".