Investigating the causes and effects of IP contract strain
Bibliographic record
Abstract
Currently private sector global markets are driven by sharing and trading of intellectual property (“IP”) assets, as facilitated by IP contracts. Experts recognize that IP contracts can be problematic. Prior literature analyzed problems in IP contracts through a lens of legal rules. Adopting a wider vantage than the prior literature, this thesis examines the role of IP assets in IP contracts and identifies the problems in this relationship as IP contract strain. Specifically, this thesis queries: What are the causes and effects of IP contract strain? IP contract strain has several causes including contractual terms failing to recognize the IP distinguishing traits of an IP asset. This set of traits provides a base definitional framework, applicable to an analysis of IP assets in IP contracts. A review of foundational IP theories reveals that specific IP distinguishing traits, such as balance, control and flexibility/evolution, lie at the core of IP assets. If one trait is omitted, altered or distorted by contractual terms the contract may not recognize or support the IP asset. A second cause is conflict between IP distinguishing traits and contract legal principles. These causes both have significant effects for contractual uses of IP assets. Private sector companies may actively draft contracts affected by IP contract strain as influences, such as pressures to attain market advantage, can induce strain. Moreover, emerging IP contract strategies may sustain this activity. Looking through a legal pluralism lens it is evident that causes of IP contract strain may be influenced by legal rules, practice and institutions, collectively or individually. IP contract strain may have numerous far-reaching effects, such as: contracts that do not achieve a contractual use of the whole of an IP asset; defective IP asset chains of title; or systemic problems caused by the number of IP contracts and the reliance placed upon these in the private sector. The outcome of IP co
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 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 | 0.013 | 0.059 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.003 | 0.006 |
| Scholarly communication | 0.009 | 0.012 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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".