Bibliographic record
Abstract
ABSTRACT. A broader view of literacy has emerged as part of the larger debate about educational reform across the globe. Many now argue that availing children with additional skills in technological and media literacy will foster creativity, motivate youth, and improve their economic opportunities while increasing the core of high skilled labourers available to meet the needs of the “knowledge ” economy. From Canada and England to Australia and New Zealand, media literacy has become part of the core curriculum. Within the U.S., implementation of reform in this vein has been slow and a number of informal education institutions have stepped in to meet the perceived need, augmenting the core curriculum with media literacy and production op-portunities. Yet there are serious questions about what skills the children are actually learning and whether the literacy discourse is yet another attempt at ignoring persistent educational inequalities along the lines of gender, race, and class. In this paper, we consider the viability of combining critical media literacy with standpoint theory to strengthen the multiliteracies movement,
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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 | 0.008 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.013 |
| Scholarly communication | 0.008 | 0.017 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.006 | 0.010 |
| Insufficient payload (model declined to judge) | 0.058 | 0.007 |
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".