A Study on the Tribal Product Marketing and Its Socio-Economic Impact in Jawadhu Hills, Tiruvannamalai District
Bibliographic record
Abstract
With an emphasis on the socioeconomic effects on tribal craftsmen, this research investigates the marketing strategies of tribal items in Jawadhu Hills, Tiruvannamalai District. Tribal people in this area have historically produced handicrafts, agricultural commodities, and natural goods using indigenous methods. These products are subsequently sold locally or through a few select outside outlets. Evaluating current marketing techniques, comprehending their impact on income levels, and investigating the socio-economic ramifications of implementing contemporary marketing strategies are the goals of the study. Both quantitative and qualitative approaches were used to survey 200 indigenous craftspeople. The study examines the connection between marketing strategies and socioeconomic results using statistical tools such regression analysis, correlation analysis, T-test, and ANOVA. The results demonstrate how contemporary marketing strategies, such online sales and teamwork platforms, raise income levels, increase product sales, and improve community well-being. On the other hand, tribal goods' expansion and reach are constrained by conventional marketing strategies. In order to empower tribal craftsmen, boost their income, and support the region's general development, this study highlights the necessity of better marketing methods. According to the research, combining traditional crafts with contemporary marketing might guarantee these communities' long-term socioeconomic growth.
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 | 0.009 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".