“An Hundred Stories in Ten Days”: COVID-19 Lessons for Culture, Learning, and Copyright Law
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In the face of a pandemic, copyright law may seem a frivolous concern; but its importance lies in the ever-expanding role that it plays in either enabling or constraining the kinds of communicative activities that are critical to a flourishing life. In this article, we reflect on how the cultural and educative practices that have burgeoned under quarantine conditions shed new light on a longstanding problem: The need to recalibrate the copyright system to better serve its purposes in the face of changing social and technological circumstances. We begin by discussing how copyright restrictions have manifested in a variety of contexts driven by the coronavirus lockdown, focusing first on creative engagement and then on learning, foregrounding the damage done by encoding a permission-first approach into governance structures and digital platforms. These stories unsettle the common copyright narrative— the one that tells us that copyright encourages learning and the creation and dissemination of works—laying bare its disconnect from the current realities of our digital dependency. Turning to consider the justifications for copyright control, we underscore the critical role of user rights and substantive technological neutrality in crafting a flexible and fair copyright system for the future. The article concludes with some lessons that might be drawn from these tales of copyright in the time of COVID19 to inform the development of new digital copyright norms for whatever “new normal” emerges.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it