Flying into Frictioned Futures: Development of Canada’s Northernmost Runways
Bibliographic record
Abstract
In Nunavut, Canada’s largest, youngest, and northernmost territory, gravel, asphalt, and concrete determine much of daily life. Airport runways’ materialities dictate the types of aircraft that can land in each of the 25 fly-in communities and with them the cargo-carrying capacity, passenger mobility, and frequency of intercommunity connections. The last jet capable of landing on gravel was recently phased out of commercial service in Nunavut, a move that further limits access to communities and works counter to desires voiced by residents to increase jet access. Temporality, an immaterial concept, becomes intimately articulated through the physical realities of transport infrastructure in Nunavut. I examine the interplay of residents’ imagined futures for their communities and the on-the-ground reality of developing, operating, and maintaining gravel and paved runways in Nunavut as points of friction, following Anna Tsing. I argue that the divergent development of communities can be partially attributed to the accessibility of transport infrastructure in each location. In conclusion, I question the idea of infrastructure as a promise of a “future perfect” (Hetherington 2016) and attempt to refocus the processes of Nunavut’s transport infrastructure development onto Nunavummi-centred solutions.
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
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: yes | Qualitative | low |
| gpt | Science and technology studies Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: yes | Qualitative | low |
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.030 | 0.017 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.001 | 0.002 |
| 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, unvalidatedLabeled directly by 2 models reading the full record.
The models disagree on parts of this classification; every voice is preserved in the section at the end of the page.
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".