Predicting residents' intention to conserve the hooded vulture (Necrosyrtes monachus) in the Birem North District, Ghana
Bibliographic record
Abstract
The vulture as an important and specialized scavenger in human societies, helps clean the environment and prevents diseases. However, plummeting populations across the globe in the last three decades has led to the classification of some species as endangered and critically endangered. This study predicts the intention of residents to support conservation of the hooded vulture in communities near a mine site in the Eastern region of Ghana. Novelty of the current study lies in the use of a social psychology theory to prognosticate human attitude towards a potential vulture population increase. The Theory of Planned Behavior was used as the study framework while data was collected through household survey. The questionnaire assessed attitudes of residents towards the vulture based on a wide range of issues, using a five-point Likert scale. The results indicate that respondents have strong attitudinal disposition towards non-persecution of vultures – a salient determinant of intention to support vulture conservation (r = 0.66, N = 281, p < 0.01). Variables reflecting attitudes and subjective norm were significant predictors of intention to support vulture conservation but perceived behavioral control was not significant. Interventions aimed at conserving vultures in the study area may succeed if strategies highlight the importance of avian scavengers in human societies and target change in personal attitudes that favor nature conservation in general.
Stored with the screening record, where it is evidence for the labels above.
How this classification was reachedexpand
The three-model screen
all 5,600 screened works →All three models called this out of scope.
Survey of residents' intention to support vulture conservation in Ghana.
It studies attitudes toward vulture conservation in Ghana.
Theory of Planned Behavior survey of vulture conservation intentions is conservation social science.
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 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 | 0.000 | 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) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".