Customers as trade secrets v. employees as market makers: introducing the unified approach of innovation policy
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
This thesis presents a coherent narrative of the laws of trade secrets and confidential information in the employment context. In the process, it asks about the best policy to adopt when evaluating the enforceability of trade secrets and restrictive post-employment covenants in the employment context, especially with regard to customer connections and related information. This thesis also examines what governments should do in order to engender inventiveness in general, and innovative enterprises in particular. A comparative analysis, primarily of the law of Canada and Israel, is employed and jurisprudential and economic arguments are invoked. It is then suggested that there is a relationship between incentives to create and the extent of the enforcement of the laws of trade secrets and confidential information. This thesis therefore concludes by proposing innovation policy as a concept which encourages creativity and unifies the disparate concerns of intellectual property, employment law and the parties involved.
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.
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 | 0.013 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.004 | 0.012 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.003 | 0.007 |
| 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 it