Bibliographic record
Abstract
The UK Leisure and Tourism sector is uniquely fragmented at government and industry levels and comprises a wide and diverse range of products and services. Tourist boards and strategic authorities are important for the thousands of small enterprises that provide accommodation, food, attractions and travel services in Britain. These organisations are responsible for marketing to incoming visitors and they provide a voice on industry issues. This article presents the findings of qualitative, exploratory analysis into the remits and positioning of six National Tourism Organisations in terms of the role each plays in interfacing with other interest groups to influence tourism policy issues and to support the tourism industry. Emphasis is placed on exploring the partnership-working dynamic between national tourism organisations and interest groups towards exerting influence on policy formulation. The study identifies best practice in partnership working and government lobbying based on thematic interviews. A thematic network is presented to suggest how the best practice partnership aspects that are identified might be applied in a UK context.
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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 | 0.055 | 0.079 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.005 | 0.007 |
| Science and technology studies | 0.013 | 0.015 |
| Scholarly communication | 0.016 | 0.013 |
| Open science | 0.003 | 0.019 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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".