Banana Farm Workers’ Preference of an Access to Health Care and Education: A Conjoint Analysis
Bibliographic record
Abstract
In lieu of a concrete living wage calculation for Kapatagan Banana Growers Cooperative (A Cavendish banana grower in Barangay Kapatagan, Digos City) in their conformance to the Rainforest Alliance Standard certification program, this study determined the farm workers’ preference of an access to health care and education program. Conjoint analysis was used in determining the highly preferable attributes among 259 respondents. Through literature and farm records review, the four attributes are formulated: (1) frequency of medical mission, (2) health awareness topics, (3) provision of annual school supplies, and (4) educational information drives. The results revealed that the educational information drive has the highest utility value in which respondents prefer topics on climate change, carbon footprints reduction and waste management. The second variable with the highest utility value is the frequency of medical mission wherein respondents prefer to have it in a semi-annual basis. School supplies came out to be the third in rank (provision of writing materials and books) and the attribute on health awareness value (topics on AIDS/HIV, Tuberculosis and Hepatitis prevention) came out with the lowest utility. Based on the result, the study recommends that the issue on living wage shall not be taken by cooperatives or employers into something that is within the liability concept but rather a responsibility which involves continuous communication and immersion to come up with more appropriate services’ attributes.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.005 |
| 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".