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Record W4235614170 · doi:10.4171/owr/2005/55

Set Theory

2006· article· en· W4235614170 on OpenAlexaboutno aff
Sy‐David Friedman, Menachem Magidor, W. Hugh Woodin

Bibliographic record

VenueOberwolfach Reports · 2006
Typearticle
Languageen
FieldMathematics
TopicAdvanced Topology and Set Theory
Canadian institutionsnot available
Fundersnot available
KeywordsPhysicsComputer scienceMathematics

Abstract

fetched live from OpenAlex

This meeting was organised by Sy-David Friedman (University of Vienna), Menachem Magidor (Hebrew University, Jerusalem) and Hugh Woodin (University of California, Berkeley). Largely due to the generous EU support for the meeting, we were able to invite an unusually large number of young researchers (at most 10 years after the beginning of doctoral studies). We consequently chose an unusual format for the meeting, in which young people were given priority in the scheduling of lectures. This turned out to be a good choice, as the quality of these lectures was extremely high, giving us an excellent opportunity to learn about the new talent that has recently come into our field. 45-minute lectures were delivered by Krueger (Vienna), Dobrinen (Vienna), Camerlo (Torino), Zoble (Toronto), Geschke (Berlin), König (Paris), Viale (Paris), Asperó (Barcelona), Sharon (Irvine) and Lopez-Abad (Paris). These young people presented striking new results concerning combinatorial set theory, descriptive set theory, set-theoretic analysis and forcing axioms. One of the most impressive of these new results was that of Viale, who established a connection between two important set-theoretic principles, by showing that the singular cardinal hypothesis follows from the proper forcing axiom. Shorter lectures (20 to 30 minutes) were given by the more senior researchers. In total, lectures were held by 29 of the 59 participants. By restricting the number and length of these lectures, we were able to leave substantial time for private discussion. The 15-minute breaks between lectures were especially appreciated, giving the meeting a relaxed feeling. The traditional Wednesday afternoon walk was a success. The Schwarzwaldkirschtorte in Wolfach was superb, and despite the rain and getting (slightly) lost in the dark, everyone made it safely back to the institute in time for dinner.

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)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.093
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0020.002
Science and technology studies0.0020.002
Scholarly communication0.0060.007
Open science0.0020.004
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0930.029

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 head0.028
GPT teacher head0.308
Teacher spread0.281 · 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 designTheoretical or conceptual
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

Citations0
Published2006
Admission routes1
Has abstractyes

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