Bibliographic record
Abstract
Even prior to Walden v. Fiore, determining if a court had authority over an out-of-state defendant was a "labyrinth with no exit." 1 Over the years, that labyrinth has mutated.Born of federalist principles in the 1870s, personal jurisdiction analysis has long since shifted toward ensuring defendants' due process rights. 2 With its evolving core purpose, it is little wonder that nailing down appropriate applications on the fringes is difficult.Consistent with this difficulty, some commentators have criticized the United States Supreme Court as "incapable of providing a coherent vision of the law of personal jurisdiction," 3 crediting the Court for producing "an ever-widening doctrinal morass" where "fundamental principles [are] submerged beneath mechanistic formulas that are both too broad and too narrow."4 As a result, due process has become "nothing more than a complex web of fact-specific outcomes."5 Walden v. Fiore is the court's most recent foray into this morass.No one claims that Walden clarifies the personal jurisdiction conundrum; at best, the case is seen as a dud.6 But Walden is not a dud.Walden injects dizzying twists and turns into the minimum contacts maze.7 First, Walden has compounded any pre-existing complexity concerning the proper roles of plaintiff residency and damage location.8 Second, Walden's express language contradicts 06.BALINSKI.FIN (DO NOT DELETE)
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 | 0.005 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.013 |
| Scholarly communication | 0.008 | 0.009 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.008 | 0.011 |
| Insufficient payload (model declined to judge) | 0.012 | 0.002 |
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.
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".