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Record W4413383385 · doi:10.21271/zjhs.29.4.7

دۆخى ئهنارشیزم لهسیستهمى نێودهوڵهتى نوێ لهڕۆژههڵاتى ناوهراست دواى ساڵى 2011هەتا٢٠٢١

2025· article· ckb· W4413383385 on OpenAlexaff
Rebin Abdalrahman Fatah

Bibliographic record

VenueZanco Journal of Humanity Sciences · 2025
Typearticle
Languageckb
FieldEngineering
TopicMilitary Technology and Strategies
Canadian institutionsAlberta Energy
Fundersnot available
KeywordsPolitical science

Abstract

fetched live from OpenAlex

پوختە ئه‌م توێژینه‌وه‌یه‌ گرنگى داوه‌ به‌پاشخانێكى كورتى مێژوویى بۆ خودى چه‌مكى ئه‌نارشیزم ولێكه‌وت وكاردانه‌وه‌كانى، هه‌روه‌ها كاریگه‌رى ئه‌م چه‌مكه‌ له‌سه‌ر شوێن وجێگه‌ى وڵاتان په‌یوه‌ندییان به‌ئاستى هێزى یه‌كترییه‌وه‌، هه‌روه‌ها هۆكارى ئه‌و نائارامى وناسه‌قامگیرییه‌ى كه‌ له‌رۆژهه‌ڵاتى ناوه‌راستدا بوونى هه‌یه‌، هۆكاره‌كه‌ى په‌یوه‌نیداره‌ به‌بوونى ئه‌نارشیزمى نێوده‌وڵه‌تى وگواستنه‌وه‌ى ئه‌مه‌ بۆ رۆژهه‌ڵاتى ناوه‌راست بۆ واقعی كردارى، به‌تایبه‌ت دواى رووداو و گۆڕانكارییه‌كانى وڵاتانى عه‌ره‌بی له‌ساڵى 2011، سه‌نگ وقورسایى وپێگه‌ى و وڵاتان له‌ سیاسه‌تى ده‌ره‌وه‌ییان به‌رامبه‌ر به‌و ژینگه‌ییه‌ى كه‌ سیاسه‌ته‌كه‌ى ئاراسته‌ ده‌كه‌ن. ئه‌م توێژینه‌وه‌یه‌ جه‌خت ده‌كاته‌ سه‌ر ژینگه‌ى سیسته‌مى سیاسى نێوده‌وڵه‌تى وكارلێك و به‌ریه‌ككه‌وتنه‌كانى هێزه‌كان تیایدا له‌ناو ناوچه‌ى رۆژهه‌ڵاتى ناوه‌راست به‌تایبه‌ت دواى گۆڕانكارییه‌كانى وڵاتانى عه‌ره‌بی له‌ساڵى 2011، وپێكدادانى به‌رژە‌وه‌ندنى ده‌وڵه‌تان له‌ناو چوارچێوه‌ى ئه‌و وڵاتانه‌ى كه‌ شۆڕش وراپه‌رین تیادا روویدا. وهه‌موو ئه‌و كارلێك وپه‌یوه‌ندییانه‌ى كه‌ له‌ نێوان وڵاتاندا هه‌یه‌، ته‌نها به‌ئه‌ندازه‌ى پێویست بۆ په‌یبردن به‌ئاستى ئه‌وه‌ى چ كاریگه‌رییه‌كیان هه‌یه‌ له‌سه‌ر خودى ئه‌و نا ئارامییه‌ى كه‌ له‌سیسته‌مى نێوده‌وڵه‌تیدا هه‌یه‌. وشه‌ كلیلیه‌كان: ئه‌نارشیزم سیسته‌مى نێوده‌وڵه‌تى رۆژهه‌ڵاتى ناوه‌راست

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)0.004
metaresearch head score (Gemma)0.012
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: Empirical · Consensus signal: none
Teacher disagreement score0.182
Threshold uncertainty score0.609

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.012
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0060.004
Scholarly communication0.0120.005
Open science0.0010.005
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.1820.138

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 head0.018
GPT teacher head0.269
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
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
Published2025
Admission routes1
Has abstractyes

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Same venueZanco Journal of Humanity SciencesSame topicMilitary Technology and StrategiesFrench-language works237,207