Critical media literacy in Canadian classrooms: the re-education of media savvy children
Bibliographic record
Abstract
Over the latter half of the 20th century, a number of technological innovations brought about a major shift in the Canadian media environment whereby we have seen traditional media, such as newspapers and radio, eclipsed by ubiquitous, state-of-the-art technologies that are incredibly vivid and burgeoning with interactive potential. New media have appeared while older media have evolved to offer us hundreds of channels and virtually unlimited access to information and entertainment. Along with these developments, our acceptance and appetite for media and technology has also shifted. In 1990 for example, only 10.4% of Canadian households owned a computer and 12.6% had VCRs (Manna, 2002, p. 18). A little over a decade later, in 2001 more than 70% of Canadian homes had computers and VCR penetration reached 93%, according to a report from the Bureau of Broadcast Measurement (ibid.). Cable and satellite subscriptions, Internet access, and mobile telephone use have also increased substantially in the last decade. Given what appears to be a vigorous proliferation of media technology, it is hardly surprising that children are becoming remarkably 'media savvy'.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.021 | 0.008 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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".