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Record W7004290286

Preface

2013· article· en· W7004290286 on OpenAlexaboutno aff

Bibliographic record

VenueScholarly Commons (University of Pennsylvania) · 2013
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCell Image Analysis Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsApplied linguisticsEditorial boardPublishingGeorge (robot)
DOInot available

Abstract

fetched live from OpenAlex

The University of Pennsylvania Working Papers in Linguistics (PWPL) is an occasional series published by the Penn Linguistics Club. The series has included volumes of previously unpublished work, or work in progress, by linguists with an ongoing affiliation with the Department, as well as volumes of papers from NWAV and the Penn Linguistics Colloquium. This volume contains selected papers from the 41st NWAV Conference, held from October 25-28, 2012 at Indiana University in Bloomington, IN.\nThanks go to Christopher Ahern, Hezekiah Akiva Bacovcin, Sunghye Cho, Eric Doty, Aaron Ecay, Sabriya Fisher, Amy Goodwin Davies, Soohyun Kwon, Marielle Lerner, Hilary Prichard, Kobey Shwayder, Einar Freyr Sigurðsson, and Elizabeth Sneller, for help in editing, uploading, and general support.\nSince Vol. 14.2, PWPL has been an internet-only publication. Since Vol. 13.2, PWPL has been published both in print and online gratis via ScholarlyCommons@Penn. Due to the large number of hits these online papers have received, and the time and expense of managing a back catalog of PWPL volumes, the editorial committee decided in 2008 to cease print publication in favor of wider-scale free online dissemination. As of September 2013, the entire back catalog has been digitized and made available on ScholarlyCommons@Penn. Please continue citing PWPL papers or issues as you would a print journal article, though you may also provide the URL of the manuscript. An example is below:\nMielke, Jeff. 2013. Ultrasound and Corpus Study of a Change from Below: Vowel Rhoticity in Canadian French. U. Penn Working Papers in Linguistics 19.2: Proceedings of NWAV 41, ed. A. Freeman, 141-150. http://repository.upenn.edu/pwpl/vol19/iss2/17\nPublication in the University of Pennsylvania Working Papers in Linguistics (PWPL) does not preclude submission of papers elsewhere; copyright is retained by the author(s) of individual papers.\nThe PWPL editors can be contacted at: U. Penn Working Papers in Linguistics 619 Williams Hall, University of Pennsylvania Philadelphia, PA 19104–6305 working-papers@ling.upenn.edu http://ling.upenn.edu/papers/pwpl.html\nAaron Freeman\nIssue Editor

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.563
Threshold uncertainty score0.559

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.008
GPT teacher head0.205
Teacher spread0.197 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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".

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Citations0
Published2013
Admission routes1
Has abstractyes

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