Frozen Screens: Discourses of Nunavummiut Internet
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This interdisciplinary project examines discourses of internet in Nunavut, a territory in Northern Canada. It has two main arguments: that internet in Nunavut is implicated in correlated discourses of frustration and potential, and that internet in the territory is articulated as having multiple faces and facets. Internet in Nunavut, this thesis argues, is experienced as a media technology, as a tool for communication, as political, as failing and frustrating, as online content, as physical infrastructure, and as potential. In making its arguments, the thesis engages with debates about internet governance, the cultural specificity of internet, and the definition of internet itself. Primary research methods for this thesis included: interviews conducted over the telephone or Skype in London (UK), face to face interviews in Ottawa, Toronto and Iqaluit, the analysis of archival materials (in particular, government reports), as well as a limited period of participant-observation at the Community Access Program site in Iqaluit (the capital of Nunavut). The first empirical chapter in the thesis (Chapter 4: “So frustrating”) examines narratives of Nunavummiut users concerning their experiences of internet; the second (Chapter 5: Fractious Collaborations) examines how some Northern internet activists have lobbied the federal government to alter its internet policy, as a means of tapping into Nunavummiut internet's potential; and the third (Chapter 6: A Local Connection) and final empirical chapter explores the Community Access Program (which provides internet access free of charge to the Nunavummiut public), as a means of linking macro-perspectives and discourses of internet
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 it