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Record W1735172377 · doi:10.16995/dscn.48

The Rise, Fall, and Rise of ACTA?

2014· article· fr· W1735172377 on OpenAlexaffvenue
Peter Smith

Bibliographic record

VenueDigital Studies / Le champ numérique · 2014
Typearticle
Languagefr
FieldBusiness, Management and Accounting
TopicCopyright and Intellectual Property
Canadian institutionsAthabasca University
Fundersnot available
KeywordsPolitical scienceHumanitiesIntellectual propertyParliamentEuropean unionLawArtInternational tradeBusinessPolitics

Abstract

fetched live from OpenAlex

In July 2012 the European Parliament defeated the Anti-Counterfeiting Trade Agreement (ACTA). Supposedly the attempt to impose global norms on intellectual property rights and thereby restrict digital copyright was dead. Or was it? This paper argues that the spirit of ACTA may live on in a host of other trade agreements currently being negotiated. That is, ACTA, or even more restrictive versions of it, could be imposed through the back door at least upon weaker states through bilateral agreements with the United States and the European Union. The result could be a spaghetti bowl of rules on digital copyright with some countries enjoying more digital rights, online freedom, and privacy than others. En juillet 2012, le parlement européen rejetait l'Accord commercial anti-contrefaçon (ACAC). Ainsi prenait fin supposément la tentative d'imposer des normes mondiales sur les droits de propriété intellectuelle et de restreindre les droits d'auteur en milieu numérique. C'est du moins ce que l’on croyait. Cet essai soutient que l'esprit de l'ACAC est peut-être encore vivant dans une gamme d'autres accords commerciaux en cours de négociations. C'est-à-dire que l'ACAC ou des versions encore plus restrictives pourraient être imposées en catimini, du moins à des états plus faibles, par l'entremise d'accords bilatéraux avec les États-Unis et l'Union européenne. Le résultat pourrait être un enchevêtrement de règles sur les droits d’auteur en milieu numérique alors que certains pays pourraient profiter plus que d’autres de droits numériques et de liberté et de confidentialité en ligne.

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 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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.473
Threshold uncertainty score0.931

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.021
GPT teacher head0.225
Teacher spread0.203 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2014
Admission routes2
Has abstractyes

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