How literacy in its fundamental sense is central to scientific literacy
Bibliographic record
Abstract
Abstract This paper draws upon a distinction between fundamental and derived senses of literacy to show that conceptions of scientific literacy attend to the derived sense but tend to neglect the fundamental sense. In doing so, they fail to address a central component of scientific literacy. A notion of literacy in its fundamental sense is elaborated and contrasted to a simple view of reading and writing that still has much influence on literacy instruction in schools and, we believe, is widely assumed in science education. We make suggestions about how scientific literacy would be viewed differently if the fundamental sense of literacy were taken seriously and explore some educational implications of attending to literacy in its fundamental sense when teaching science. © 2003 Wiley Periodicals, Inc. Sci Ed 87: 224–240, 2003; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/sce.10066
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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 | 0.004 | 0.023 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.024 |
| Scholarly communication | 0.008 | 0.009 |
| Open science | 0.000 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| 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".