Unsettling geographies of tourism
Bibliographic record
Abstract
This article introduces the Special Issue on unsettling geographies of tourism. The overarching aim of this collection of articles is to bring together critical and creative analyses that help destabilize tourism’s relationship to settler colonialism. In this Introduction, we provide an overview of literature on geographies of settler colonialism and tourism, which works to situate the ‘unsettling’ agenda in relation to the decolonial and Indigenous geographies and the respective contributions of each article in the Special Issue. We also review the ethics of care and decolonizing approach that oriented our process of peer reviewing articles, understanding that peer review is fraught with practices of erasure, exclusion, and prescription and that decolonizing tourism geographies must include intentional practices of transforming our individual and collective responsibilities to each other and with the lands and waters from which scholarship originates. Towards the end of our Introduction, we present a summary of each article that amplifies and synthesizes their respective contributions to unsettling tourism geographies knowledge and research.
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 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 | 0.004 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.006 | 0.007 |
| Science and technology studies | 0.007 | 0.039 |
| Scholarly communication | 0.013 | 0.015 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.003 | 0.006 |
| 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".