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Record W7025456002

Volume 15, Number 2 (Winter 2008/09)

2009· other· en· W7025456002 on OpenAlexfundno aff

Bibliographic record

VenueNSUWorks (Nova Southeastern University) · 2009
Typeother
Languageen
FieldEarth and Planetary Sciences
TopicAtmospheric chemistry and aerosols
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of CanadaHuman Resources and Skills Development CanadaDepartment for International DevelopmentJohn D. and Catherine T. MacArthur FoundationUniversiteit LeidenEuropean University InstituteEuropean CommissionAustralian Agency for International DevelopmentCape Breton UniversityOrganization for Security and Co-operation in EuropeKingston UniversityUnited States Institute of PeaceU.S. Department of EducationMcMaster UniversityUniversity of Louisville
KeywordsVolume (thermodynamics)Measure (data warehouse)Work (physics)Noise (video)
DOInot available

Abstract

fetched live from OpenAlex

ABOUT PEACE AND CONFLICT STUDIES (PCS) Peace and Conflict Studies (PCS--ISSN1082-7307) is committed to interdisciplinary explorationson conflict resolution, peace building, humanitarian assistance, and other alternative mechanisms that seek to prevent and control violence.PCS is also interested in articles focusing on social change and nonviolence: sustainable development, ecological balance, community revitalization, reflective practice, action research, social justice, human rights, gender equality, intercultural relations, grassroots movements and organizational transformations.Manuscripts may address various human experiences, social issues, and policy agendas that are connected to the research literature, practice, and experiential learning in the fields.As a semiannual academic journal

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.368
Threshold uncertainty score0.525

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0020.000
Scholarly communication0.0050.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.6320.465

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 head0.011
GPT teacher head0.186
Teacher spread0.175 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

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 abstractno

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