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Record W1974272415 · doi:10.1215/15525864-2007-4007

International Conference on Kurdish Women for Peace and Equality March 8, 2007, Erbil, Southern Kurdistan

2007· article· en· W1974272415 on OpenAlexaffabout
Nadeen El‐Kassem

Bibliographic record

VenueJournal of Middle East Women s Studies · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicTurkey's Politics and Society
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsIconMiddle EastCitationLibrary scienceDownloadPolitical scienceGeographyHistoryComputer scienceWorld Wide WebLaw

Abstract

fetched live from OpenAlex

Meeting Report| November 01 2007 International Conference on Kurdish Women for Peace and Equality March 8, 2007, Erbil, Southern Kurdistan Nadeen El-Kassem Nadeen El-Kassem University of Toronto Search for other works by this author on: This Site Google Journal of Middle East Women's Studies (2007) 3 (3): 105–108. https://doi.org/10.1215/15525864-2007-4007 Cite Icon Cite Share Icon Share Twitter Permissions Search Site Citation Nadeen El-Kassem; International Conference on Kurdish Women for Peace and Equality March 8, 2007, Erbil, Southern Kurdistan. Journal of Middle East Women's Studies 1 November 2007; 3 (3): 105–108. doi: https://doi.org/10.1215/15525864-2007-4007 Download citation file: Zotero Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search Books & JournalsAll JournalsJournal of Middle East Women's Studies Search Advanced Search The text of this article is only available as a PDF. Copyright © 2007 Association for Middle East Women’s Studies2007 Article PDF first page preview Close Modal You do not currently have access to this content.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.179
Threshold uncertainty score0.600

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.001
Scholarly communication0.0030.001
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.1790.035

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 head0.131
GPT teacher head0.382
Teacher spread0.251 · 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 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
Published2007
Admission routes2
Has abstractyes

Explore more

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