Critical literacy lessons for the intellectual properties of learning from Bede and Alcuin of York
Bibliographic record
Abstract
The concept of intellectual property has much to contribute to cultural literacy. Intellectual property rights are crucial to issues of access to and economics of research and scholarship, and how such rights are associated with learning and the work of the learned is relevant to critical literacy. To begin to establish how intellectual property has long played a role in the critical shaping of learning, this article considers the 8th-century examples provided by Bede and Alcuin of York in the medieval monastic development of learning in the West. These examples illustrate how a cultural history of the proto-concept of intellectual property can illuminate the special and distinct status of learning in the production and circulation of knowledge. Bede and Alcuin of York are considered as medieval historical precedents for an opening up of literacy and learning that is relevant to digital-era issues over long-established tensions between a cloistered literacy (and learning) that is placed at a remove from the world and an opening up of literacy, learning and access to knowledge.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".