sagepub.com/journalsPermissions.nav DOI: 10.1177/0002764210361689
Bibliographic record
Abstract
This article analyzes the impact of new digital media on the residents of Chapleau, a remote rural town in Northern Ontario, Canada. As in urban situations, broadband e-mail in Chapleau facilitates communication with friends and relatives who live locally and far away. But unlike their use in urban situations, mobile phones are rarely used locally in Chapleau: They are for trips outside of town. Broadband use has aided health care, shopping, and information gathering. Indeed, it is the increased connectivity to the outside that stands out, making Chapleau much less of an “island.” Keywords high-speed Internet, connectivity, rural communities, social inclusion, geographic isolation, Internet diffusion Social and geographical isolation are key challenges of life in rural and remote regions. Residents of such localities rarely see friends and family who live at a distance, and the availability of goods and services is more limited than in urban areas. Although small local populations may foster densely knit social relationships, they can limit the scale useful for diversified civic involvements. Yet, the isolation of rural life is far from a static, foregone conclusion, and the Internet (and associated information and communication technologies [ICTs]) may help to mitigate the downsides of small rural populations and physical distance from other people and places. Some pundits have optimistically imagined that information and communication technologies such as the Internet will reduce—and possibly even eliminate—“the tyranny of space and distance ” (Malecki, 2003, p. 201), neutralizing 1
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.943 | 0.862 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".