Bibliographic record
Abstract
This chapter examines the policy of affording legal protection to digital locks — i.e., the use of technological protection measures by copyright owners to preclude people from using digital works in ways that they do not wish. Recognizing that all locks can be broken, many of those who employ digital locks have sought the further protection of law, lobbying lawmakers to make it illegal to circumvent digital locks. The chapter begins with a series of historical and cultural vignettes, investigating the nature, purpose and symbolic significance of locks as they are used in society. The author then examines digital locks and the power afforded to keyholders to control others through the automation of permissions, in effect enabling or disabling the world we live in by setting terms and conditions for its use. The author then considers the effects of automating permissions, sketching the potential progression of a widespread digital lock strategy and what this might mean. The author goes on to ask how a broadly adopted digital lock strategy might affect us as moral actors who desire to do good things. In answering this question, the author demonstrates that a state sanctioned, unimpeded and widespread digital lock strategy would impair our moral development by impeding our ability and desire to cultivate the practical wisdom necessary for the acquisition of morally virtuous dispositions. Finally, the author briefly investigates Bill C-32, Canada’s proposal for sanctioning the use of digital locks and prohibiting their circumvention. Arguing that the flaws in Bill C-32 are symptomatic of the larger digital lock strategy, the author concludes that the proposed legislative solution is inelegant — a brute force formula that fails to achieve a balanced copyright framework. The overarching conclusion is that excessive protection of digital locks places coercive limits on moral actors, preventing them from acquiring access to an adequate range of life’s options. There is no point in developing entire systems to protect creative works or other forms of property if the means by which this is achieved ultimately undermines moral authorship and the project of conscious self-creation.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".