Travelling down the road to postdisciplinarity? Reflections of a tourism geographer
Bibliographic record
Abstract
Like many other forms of scholarship in geography, tourism geography has evolved as a distinct subfield of inquiry within the discipline, although the contributions of tourism geographers are perhaps more readily acknowledged in the multidisciplinary realm of tourism studies. I trace the evolving relationship of tourism geography to both the discipline of geography and to the field of tourism studies. In doing so, I reflect on such influences as the role of institutions, paradigm shifts, technology, and other factors that affect the creation and management of geographic knowledge in the twenty‐first century. The intent of this article is two‐fold: first, to appeal to geographers for greater recognition of the importance of tourism as a quintessential component of geographic study that in today's world warrants integration into core aspects of geographic enquiry; second, to use current debates within both tourism studies and geography to reflect on issues of disciplinarity, interdisciplinarity, transdisciplinarity, and even postdisciplinarity.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.012 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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; both teacher heads agree on what is shown here.
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".