Study on Consumers’ Behavior on Buffen (Buffalo meat): Marketing Perspective
Why this work is in the frame
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Bibliographic record
Abstract
The study was undertaken to examine the socioeconomic profile of buffalo farmers and to assess the marketing and consumers preference on buffen (buffalo meat) in the selected areas. Twelve districts namely: Mymensingh, Jamalpur, Moulovibazar, Bhola, Bagerhat, Feni, Potuakhali, Noakhali, Laxmipur, Chittagong, Tangail and Sirajgong were selected purposively. A total of 1400 buffalo farmers were interviewed following simple random sampling technique. Data were collected during June 2011 to April 2016 and analyzed data using SPSS software. Study revealed that the highest per cent of farmers were in age group 31-45 years indicating that farmers were mature enough to give more labour to their farming activities. On average, 88 per cent buffalo farmers were engaged purely in agriculture followed by business and service as primary occupation. The highest numbers of farmers were illiterate followed by primary education, SSC, HSC and Degree. About 49 per cent buffalo farmers had above 15 years of farming experience of rearing buffalo. Average farm size was estimated 0.95 hectare indicating small and medium category farm and average family size was calculated 6 persons per family which is higher than national average 4.9. Dependency ratio was also estimated to 0.94. The study showed that buffen contributes 7.16 per cent of total red meat production and 6.19 per cent of total meat production in Bangladesh and about 50 percent farmers reported that they did fattening before selling of buffalo. About 48 per cent consumers reported that they prefer buffen most among different kinds of meats. In view point of butcher, about 46 percent consumer preferred buffen than beef.
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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 | 0.003 | 0.001 |
| 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 it