Negotiating conflicting temporalities in Canadian Arctic travel journalism
Bibliographic record
Abstract
This chapter examines the representation of Canadian Arctic tourism in three distinct forms of contemporary travel journalism. The study is attentive to the role that climate change and time play in such coverage. After introducing the concepts of “Last Chance Tourism” and “disaster capitalism,” they are related to the practices of Arctic travel journalists. Next, qualitative analysis of a sample of relevant journalistic texts places commercial travel journalism into dialogue with reporting by local journalists and arrives at two main findings. First, that climate change was underrepresented across the sample. Second, that two distinct conceptions of time—aligned with unique settings and contexts for journalistic production—characterized the examined coverage. The chapter concludes with a brief discussion of how these findings point both to the shortcomings of Canadian Arctic travel journalism, and to the potential for its reform through the adoption of a systems journalism approach (Callison and Young, 2020 ).
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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 | 0.021 | 0.038 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.010 | 0.013 |
| Science and technology studies | 0.033 | 0.034 |
| Scholarly communication | 0.036 | 0.010 |
| Open science | 0.003 | 0.009 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".