The Socio-Economic Impact of Footwear Production on the Community in Su Lun Quarter Myingyan Township, Mandalay Region
Bibliographic record
Abstract
The title of this thesis is "The socio-economic impact of footwear production on the community in SunLun Quarter, Myingyan Township, and Mandalay Region", The main scclo- economic of the target community is based on the footwear production-The study was started in December of 2013 and ended in April of 2014 and last for onlyfour months. The economy and social impact of footwear production and how social elements are changed due to economic variation are studied and explored from the cultural and economic anthropological point of view. The ethnographic, qualitative field research was conducted by means of Focus Group Interviews (FGI), In- depth Interviews (IDI), Key Informant Interviews (KII), and Direct Observation (DO).To describe the social and economic importance of footwear, social interaction among employers, owners and customers and how to social elements are changed due to economic development and the context which provide for this change, this thesis with six chapters is presented. As results of the footwear workers economy is increased by the innovation of newadvanced design. Footwear is the main economic activity and footwear making economy of the SunLun quarter provide the most opportunity of the jobs for migrate workers. Buying the footwear slippers and good new design slipper the production the hope of the footwear makers. Because of the economic development how changing in social elements for the quarter people educating, health, social standard and religious activities is described in detail withcolor photo respective.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".