When Rhetoric Meets Reality: Attitudinal Change and Coastal Zone Management in Ghana
Bibliographic record
Abstract
The current poor state of coastal natural resources in Ghana has been attributed to pressures largely from anthropogenic sources, as well as to the negative attitudes of resource users. In order to facilitate attitudinal change educational programmes have focused on the linear model of behaviour, where an awareness of environmental problems is thought to lead to positive environmental behaviour. This paper presents the results of a study of the environmental attitudes of some coastal residents and the socio-economic milieu in which these attitudes are expressed. The results indicated that (1) majority of the respondents lacked access to basic infrastructure, (2) their main environmental concerns were linked to their desire for better living conditions, (3) they have generally positive environmental attitudes and (4) their positive environmental attitudes did not translate to good environmental behaviour because of factors mentioned in (1) and (2). The paper recommends the consideration of environmental and socio-economic concerns of resource users, which influence behavioural intentions during the policy-making processes.
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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 | 0.000 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".