Determination of Activity and Role Performance of Waste Pickers in Iskitler Region of Ankara
Bibliographic record
Abstract
Purpose: Identifying the activities and role profiles of waste pickers who have adverse working and housing conditions is important in order to promote the well-being and health of waste pickers and show problems limiting this promotion. The study aims to identify activity and role profile of waste pickers who are doing this job at least for one month in the Iskitler region of Ankara. Material and Methods: Quantitative and qualitative research methods were used in this study. The universe of the study was formed by 700-800 waste pickers. The certain number of waste-pickers isn’t known, because they don’t join the association because of living problems with municipality and working in some seasons. The sample selected by random sampling method in the universe and the universe constitute approximately 5% in 30 male workers constitute recycling. The data was collected through structured questionnaires and diseases form designed by the researcher and through Canadian Occupational Performance Measure (COPM) after doing a careful literature review. The questionnaires were filled through face to face interviews. Results: It is found that the areas of activity performance is more important self-care activities. In the self care activities, take a bath (9,2±1,6) is very important for waste pickers. After take a bath, the second activity is talking on the phone (9±1,98). The job as a waste-piskering is a dirty and compulsory job and this job has a lower level for waste-pickers. The ‘Death, survival, plastic ’ sentence of waste picker was best summed up to waste pickers’ point of view for their job. conclusion: The research shows that 83.3% of the wastepickers worked at least 11 hours, 53% of the waste-pickers has a negative attitude to their own work, 50% of the waste-pickers has a thing that the community have a negative attitude to waste-pickers
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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 | 0.000 |
| 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) | 0.000 | 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".