Everything Old Is New Again: Does the '.sucks' gTLD Change the Regulatory Paradigm in North America?
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
In 2012, the Internet Corporation for Assigned Names and Numbers (“ICANN”) took the unprecedented step of opening up the generic Top Level Domain (“gTLD”) space for entities who wanted to run registries for any new alphanumeric string “to the right of the dot” in a domain name. After a number of years of vetting applications, the first round of new gTLDs was released in 2013, and those gTLDs began to come online shortly thereafter. One of the more contentious of these gTLDs was “.sucks” which came online in 2015. The original application for the “.sucks” registry was somewhat contentious with a number of countries and others opposing the application. Nevertheless, ICANN granted the rights to a Canadian company, Vox Populi, which has subsequently made a splash in the domain name market offering a variety of pricing levels for different “.sucks” domain names. Complaints have been made to Industry Canada about the activities of Vox Populi in the domain name space, but, so far, the Canadian government has bowed out of involvement in the issue. This Article explores the way that the new gTLDs in general, and the “.sucks” domain name in particular, have affected the landscape for domain name regulation with a particular focus on North America.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.003 |
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