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Record W7031137159

22 Labor Batalions

2018· article· en· W7031137159 on OpenAlexaboutno aff

Bibliographic record

VenueClark Digital Commons (Clark University) · 2018
Typearticle
Languageen
FieldNeuroscience
TopicNeuroscience and Music Perception
Canadian institutionsnot available
Fundersnot available
KeywordsIndex (typography)DeclarationQuarter (Canadian coin)Subject (documents)
DOInot available

Abstract

fetched live from OpenAlex

[This is a long document. Please consult the index for full information]Takvim-i Vekayi, number 3772, 1 August 1920, number 3586, 21 June 1919Takvim-i Vekayi, number 3772, pg. 247, og. 250-51, pg. 253-54, pg. 255; Takvim-i Vekayi, number 3586, pg. 268-69, 21 June 1919Husaper, 1965, pg. 17-19. A note regarding how much was gained by the people who looted the Armenians in Malatya, Harput and Ras al-Ayn.The document already existsPRO FO 371/5103, E 585/56/44, 25 February 1920The contents of the published declaration of Ismet Pasha, regarding the the return of those who were pardoned and those who had been deported, which are regarded as two separate issues.[This is a long document. Please consult the index for full information]

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)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.507
Threshold uncertainty score0.703

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0070.002
Scholarly communication0.0120.004
Open science0.0020.006
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.5070.368

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 head0.035
GPT teacher head0.241
Teacher spread0.206 · 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.

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
Published2018
Admission routes1
Has abstractyes

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