‘Understanding Perception And Opinion Of Kashmir Tourism Marketing Post Abrogation Of Article 370’
Bibliographic record
Abstract
Article 370 of the Indian constitution gave special status to Jammu and Kashmir, a region located in thenorthern part of Indian subcontinent. Now a Union Territory with diverse and rich cultural heritage, Kashmiroffers something for everyone from adventure to wildlife, leisure to ecotourism cultural tourism to pilgrimagetourism. After Article 370 was repealed on August 09, 2019, Kashmir's tourism industry made significantprogress which is confirmed by increase in tourist footfall. According to statistics, the Tourism marketing hasplayed a significant role in the promotion of tourism in Kashmir over the years especially after 05th of August,2019. Foot fall, traffic, money, infrastructure, and employment have all increased. This research study's maingoal was to study the perception and opinion on Kashmir Tourism Marketing. A research tool (questionnaire)consisting of a set of 12 questions was used to collect information from the respondents. Response of Questionsrelated to Kashmir Tourism Marketing was put to Chi Square test to test the proposed hypotheses. The findingsdemonstrated that there is no statistically significant correlation between the type of respondents and theiropinions on particular Kashmir tourism marketing criteria. Instead, the opinions of respondents on particularKashmir tourism marketing criteria and their gender are statistically independent. The suggestion was thatKashmir Social media should be used to promote tourist destinations primarily; hosts should be active inpromoting local tourist destinations and be rewarded for doing so; and the tourism marketing plan needs to beupdated. Jammu & Kashmir Tourism Development Corporation (JKTDC) has been conferred with the vitalrole of Kashmir tourism marketing which so far has shown great prospects and opportunities
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".