Going North: A Reflection on Lines at the First Canadian Road to the Arctic Coast
Bibliographic record
Abstract
The experience of the first Canadian Road to the Arctic Coas informed the trajectory of this thesis which investigates "the line" as a tool that explores and describes spatial understandings: whether as a physical artifact in space (the road), in making (maps, notations, models and drawings), in storylines (with their material consequences) or physical perspectives (as lines of sight); all of which inform thinking and acting in and toward the site of study. A line doesn't necessarily manifest as "the dot that went for a walk", but often as an inclination, a thought pattern, a habit of spatial engagement, an assumption, or a physical act. The lines we draw and imagine, order our spatial and social practices and write the stories of our understandings. Through a series of reflective exercises this thesis looks for ways in which we might begin destabilizing our patterns of seeing, thinking and making.
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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 | 0.004 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.049 | 0.027 |
| Scholarly communication | 0.010 | 0.005 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.004 | 0.010 |
| Insufficient payload (model declined to judge) | 0.007 | 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".