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Record W3122337572

Fair.com? An Examination of the Allegations of Systemic Unfairness in the ICANN UDRP

2002· article· en· W3122337572 on OpenAlexaff
Michael Geist

Bibliographic record

VenueBrooklyn journal of international law · 2002
Typearticle
Languageen
FieldSocial Sciences
TopicIntellectual Property Law
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsPlaintiffTrademarkLawRespondentDispute resolutionBusinessPolitical science
DOInot available

Abstract

fetched live from OpenAlex

Fair.com? reviews all 3094 ICANN Uniform Domain Name Dispute Resolution Policy (UDRP) decided through July 7, 2001 finding that that the allocation of cases may be unfairly biased toward trademark holders. It arrives at that conclusion based on three key findings. First, forum shopping has become an integral part of the UDRP. ICANN delegates the administration of the UDRP to four dispute resolution providers. Each provider maintains a roster of panelists who serve as judges in deciding the disputes. Complainants, who are invariably trademark holders, have the right to select which provider will handle their case. Track records of the various providers are a matter of public record and show that 90% of complainants rationally choose the two providers who feature panelists that render the most pro-complainant decisions. Second, there is a correlation between the selection of panelists and case outcome. UDRP cases are decided by either single or three-member panels. Single member panels feature one judge chosen exclusively by the arbitration provider. Three-member panels contain three judges selected by both the complainant and the respondent. This is significant since data shows that when providers control who decides a case, complainants win just over 83 percent of the time. As provider influence over panelists diminishes, such as in three-member panel cases, the complainant winning percentage drops to 60 percent. In an attempt to explain this, the study arrives at the third key finding - the higher winning percentage in single member panel cases may stem from provider bias toward ensuring that pro-complainant panelists decide the majority of cases. Although the allocation of cases is supposed to be random, the study finds that this may not be the case. For example, the National Arbitration Forum, one of the larger dispute resolution providers, has 135 panelists. However, 53 percent of its single panel cases are decided by only six of them. Those six panelists rule in favour of complainants 94 percent of the time. The article concludes that the solution to the forum shopping issue, and with it the concerns about bias and inconsistency within the UDRP, is surprisingly simple -- all contested UDRP actions should involve three-member panels. Establishing the three-member panel as the default would remove most provider influence over panelist selection and ensure better quality decisions by forcing panelists to justify their reasoning to their colleagues on the panel. As with the current system, both parties would play a role in selecting one panelist, who may be part of any ICANN-accredited providers' roster, while the provider would select the third panelist from among a list that both parties have reviewed and accepted.

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 imitation

Not 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.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.027
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.057
Threshold uncertainty score0.191

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.027
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0100.005
Science and technology studies0.0060.004
Scholarly communication0.0090.006
Open science0.0020.001
Research integrity0.0120.003
Insufficient payload (model declined to judge)0.0570.010

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 head0.042
GPT teacher head0.284
Teacher spread0.241 · 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 source (direct Gemma or distilled Codex), 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

Citations5
Published2002
Admission routes1
Has abstractyes

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