Knowledge attitude and practice of solid waste management among households in Calabar municipality, Nigeria
Bibliographic record
Abstract
Introduction: The volume of solid wastes being generated continues to increase at a faster rate than the ability of the agencies to improve on the financial and technical resources needed to parallel this growth and its gradually becoming a challenge in our society today. Purpose: The purpose of the study is to investigate and understand the relationship between knowledge attitude and practice of solid waste management among households in Calabar municipality Cross River State. Methodology: Ex post facto research design was used for the study. 200 respondents were sampled from a population of 4,000 household in Calabar municipality using a simple random sampling technique. A close-minded questionnaire was used for data collection. The instrument was validated and was also tested for reliability using Cronbach alpha method with estimate of .72 to .80. Data collected was analyzed using the Pearson products moments correlation they were tested at 0.5 level significance. Results The results revealed that knowledge attitude and practice of household in Calabar municipality Cross River States significantly influence solid waste management and this maybe as a result of poor education on the health implication, inefficient collection methods, insufficient coverage of the collection system and improper disposal 'of solid wastes. Recommendations: It was recommended that there should be adequate enlightenment program on solid waste management in order to enhance awareness so as to encourage and develop the habit of using proper refuse dorms in disposing waste in the area and there should be sanction for those who refused to change their poor attitude.
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 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 | 0.016 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.002 |
| 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".