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Record W1615550878

The Politics of Intellectual Property

2009· article· en· W1615550878 on OpenAlex

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueeYLS (Yale Law School) · 2009
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCopyright and Intellectual Property
Canadian institutionsnot available
Fundersnot available
KeywordsScholarshipIntellectual propertyPoliticsPolitical scienceMetaphorLegislationPolarization (electrochemistry)Law and economicsLawSociologyPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

In May 2005, Keith Aoki invited me to participate on a panel on "The Politics of Copyright Law" at the 2006 Association of American Law Schools ("A.A.L.S. ") mid-year meeting workshop on Intellectual Property in Vancouver, British Columbia. The panel, renamed "The Politics of Intellectual Property," and moderated by Keith, included talks by Justin Hughes, Mark Lemley, Jay Thomas, and me, and it was followed by three concurrent sessions on "The Politics Concerning Moral Rights," "The Politics of Global Intellectual Property, " and "The Politics of Patent Reform." I'm not sure what the organizing committee had in mind when it put together our panel. Judging from the speakers invited to participate, it seems likely that the organizers expected us to talk about how intellectual property ("IP") law plays out in Washington. (Mark and Jay had been active in extant efforts to draft patent reform legislation, Justin has served as a policy expert in the patent office, and I've spent a large chunk of my life writing about the copyright legislative process.) Since nobody gave us explicit instructions, though, I took the opportunity to talk about something that had been on my mind. Although the A.A.L.S. had recently begun to make Annual Meeting talks available as podcasts, it did not record the 2006 mid-year meeting, and the text of the talk I gave has been sitting unread on my hard drive ever since. A few months ago, Justin Hughes wrote to ask me for a citation to the talk. When I told him it had never been published, he suggested that I agree to publish it here

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.883
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.002

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.

Opus teacher head0.021
GPT teacher head0.227
Teacher spread0.205 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it