Attitudinal and behavioural segments on single-use plastics in Ghana: Implications for reducing marine plastic pollution
Bibliographic record
Abstract
Recent research attention has been directed at legislative and market-based instruments with little recourse to understanding attitudinal and behavioural responses to single-use plastics (SUPs). Using the tri-component model, this study examines attitudinal and behavioural segments on SUPs amongst residents in coastal cities of Accra and Cape Coast in Ghana. A questionnaire was used to solicit data from 2,345 residents selected using the multi-stage sampling technique. Findings show that there are three attitudinal clusters on SUPs amongst residents, namely avoiders, potential avoiders and patrons. Avoiders have unfavourable attitudes towards SUPs and as such avoid consumption of SUPs, while potential have unfavourable attitudes towards SUPs, but with a lower level of avoidance and thus sometimes use them. Patrons have favourable attitudes towards SUPs and equally consume them. Each of these three attitudinal clusters varies across the socio-demographic characteristics of residents. The implications of these findings towards the reduction of marine SUP pollution are discussed.
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 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 | 0.001 | 0.002 |
| 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 | 0.001 |
| 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".