Don't Touch That Dial!: Media and the Accumulation of Social Capital Among Newfoundlanders in Fort McMurray, Alberta
Bibliographic record
Abstract
As a result of the booming oil economy in Alberta, other parts of Canada are experiencing population losses to the province. In Alberta, the financial rewards of working in the oil industry outweigh the negative aspects of the often dangerous jobs. One striking result of this internal migration is the presence of Newfoundlanders in Fort McMurray, Alberta, a town at the edge of the oil sands development. A lack of economic opportunities in Newfoundland makes Fort McMurray an attractive destination, and Newfoundlanders now make up approximately 30 percent of the city's population. The large percentage of one particular culture group in Fort McMurray has influenced many realms of the city's culture, including radio broadcasting, television, and print media. This article uses theories involving the importance of social capital, as established by Bourdieu, Coleman, and Putnam, to explore the role that these media play in establishing and maintaining social networks and social capital between Newfoundland migrants to Fort McMurray and those who remain on the island. For this research, social capital is defined as the value of being able to mobilize and maintain effective social networks so as to gain access to resources. Data were collected over two summers of fieldwork in Fort McMurray and four summers of fieldwork in Newfoundland. Using statistics from the Canadian Census and testimonials from Newfoundlanders, this article indicates that radio, television, and print media are important media through which social capital is accumulated and social networks are created.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.008 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| 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, 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".