Super Network on the Prairie: The Discursive Framing of Broadband Connectivity by Policy Planners and Rural Residents in Alberta, Canada
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 paper focuses on the case of the SuperNet, an infrastructure project designed and sponsored by the provincial government of Alberta, Canada with the objective of providing broadband connectivity to public facilities, businesses and residences in rural communities. The data were collected through individual interviews, focus groups, and town hall meetings in the course of a collaborative research initiative (The SuperNet Research Alliance) that investigated the social construction of the broadband network from multiple perspectives. The objective of the paper is to examine in parallel the discourses in which the concept of broadband connectivity acquired meaning and substance at the levels of 1) provincial government and industry policy planners and 2) the residents of the rural communities who were the intended beneficiaries of the SuperNet. Using actor-network theory as a departure point, this analysis takes stock of the framing devices employed in the two sets of discourses and of the distinctive worldviews that generated them. It looks for the meeting points and the disjunctions between the grand visions and the grounded projections underlying the positions taken by the two respective categories of actors. Differences in the interpretation and appropriation of broadband among rural Albertans themselves are discerned and related to social factors characterizing different situations within rural areas. Rural broadband connectivity thus emerges not so much as a one-dimensional access equalizer for rural people, but as a complex mediator of opportunity, participation and identity.
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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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