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Record W7043091251

Proceedings of the Workshop on Future Directions for Common Property Theory and Research, Rutgers University New Brunswick, NJ

2009· report· en· W7043091251 on OpenAlexaboutno aff

Bibliographic record

VenueDigital Library Of The Commons Repository (Indiana University) · 2009
Typereport
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsPoint (geometry)Property (philosophy)Executive directorCommon propertyCenter (category theory)Property rightsNatural resourceCommon-pool resource
DOInot available

Abstract

fetched live from OpenAlex

"The Common Property Workshop at Rutgers was co-hosted by the Ecopolicy Center for Agricultural, Environmental, and Resource Issues and the International Association for the Study of Common Property, IASCP, which held its Executive Board meeting the next day (March 1st). Bonnie McCay, Associate Director of the Ecopolicy Center and Professor in the Department of Human Ecology at Rutgers University, organized and chaired the workshop. In her introductory remarks she said, 'we couldn't pass up this opportunity to bring together people who are doing the most innovative thinking about the problems of dealing with common resources, as well as the problems of property rights and property rights as they relate to and use of management of natural resources.' She introduced members of the Executive Board of IASCP and other participants. Then Bob Tucker, director of the Ecopolicy welcomed the group on behalf of Rutgers University. He explained the Ecopolicy Center, which looks at resource issues from an environmental point of view, ecological point of view and also an economic point of view. We're looking at environmental issues at agricultural issues, issues of land use, and so the idea for looking and studying common property is very appropriate for the center. We're also particularly proud to have Bonnie as the President-elect of the International Association of the Study of Common Property. So I think it is particularly appropriate that you are all here this afternoon - welcome."

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.244
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.004
Science and technology studies0.0020.002
Scholarly communication0.0000.002
Open science0.0030.002
Research integrity0.0010.002
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 head0.025
GPT teacher head0.234
Teacher spread0.209 · 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.

Study designNot applicable
Domainnot available
GenreOther

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
Published2009
Admission routes1
Has abstractyes

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