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Record W7165753897 · doi:10.62440/amk2024-3.s.38-50

BİR GÜNLÜK SƏFƏRİN MÜNASİBƏTİ İLƏ

2024· article· W7165753897 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueKonservatoriya · 2024
Typearticle
Language
FieldSocial Sciences
TopicMusic Education and Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsEthnomusicologyQuarter (Canadian coin)Folk musicWork (physics)Order (exchange)The Republic

Abstract

fetched live from OpenAlex

One of the most important tasks of Azerbaijan National Conservatory’s teachers and students is to collect and study folk music samples. Though a study of folk music heritage may have a plenty of aims, in all circumstances researchers must to hardly work and desire in order to gain satisfactory achievements This rule had not been an exclusion also during a brief field trip accomplished in mountainous spot of the Gobustan district of Republic of Azerbaijan, embracing three villages - Chukhanly, Tekle and Syundi. Professor F.Khalig-zade and master’ student Z.Bagirli were aimed to discover potentials for the forthcoming researches. Changes occurred at the first quarter of the 21st century, an observation made in accordance with the latest results from the both wings of ethnomusicology together with a desire to gather new materials and information allow to make more lasting expedition in the same area and beyond.

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.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient 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: Empirical · Consensus signal: none
Teacher disagreement score0.548
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.005
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0260.008

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 head0.041
GPT teacher head0.356
Teacher spread0.314 · 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