Cultural consumption and the broadband revolution: Canada and Australia
Bibliographic record
Abstract
According to Jeffrey Cole, Director of the USC Annenberg Centre for the Digital Future, the spread of high-speed broadband is a major factor in revolutionary changes in cultural consumption (of products, such as movies, television/ video, books, magazines, music, art and museum exhibits). Technologically, this revolution is driven not only by the new services enabled by greater bandwidth but also by the always on nature of high-speed connectivity. The revolution involves a shift in consumer perceptions of the Internet from an instrument of communication and information to a medium of entertainment, culture and self-expression. This paper will draw on comprehensive national surveys of Internet use in Canada and Australia. The two countries are similar in culture but are at different stages of Broadband adoption, making the comparisons particularly apt. Within Canada, we are able to compare responses to Canadian Internet Project surveys in 2004 and 2007. The analysis will focus on the following variables: Cultural consumption activities, such as downloading of videos and music; shifts from traditional to new media as sources of entertainment; willingness to pay for / subscribe to Internet services; incidence and frequency of online content production and participation in online social networks. We will compare the reported behaviour of Internet users and non-users, those with or without home broadband access, experience with and intensity of Internet use, age and life stage, as well as other demographic differences, to help build a profile of different types of cultural consumer.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.010 |
| Science and technology studies | 0.007 | 0.003 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".