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Record W4200196647 · doi:10.52603/rec.2021.30.04

Re-actualization of scientific studies of ethnological institutions of the Ukrainian Academy of Sciences of the 1920s of the ХХ century (to the centenary of the establishment of the Cabinet of Anthropology and Ethnology named after F. Volkov)

2021· article· en· W4200196647 on OpenAlexaboutno aff
Ганна Аркадіївна Скрипник

Bibliographic record

VenueJournal of Ethnology and Culturology · 2021
Typearticle
Languageen
FieldEnvironmental Science
TopicDiverse Scientific Research in Ukraine
Canadian institutionsnot available
Fundersnot available
KeywordsUkrainianEthnographyCabinet (room)AnthropologyQuarter (Canadian coin)InstitutionSociologyHistory of anthropologyDisciplineHistorySocial scienceArchaeologyPhilosophy

Abstract

fetched live from OpenAlex

In the context of the development of ethnological science in the first quarter of the 20th century, the article exa-mines the current and still relevant methods of ethnographic research on the example of the scientific work and creativity of the Ukrainian artist-ethnographer Yu. Pavlovych. His legacy includes tens of thousands of sketches of the monuments of the ethnic culture of the Ukrainian and other peoples, and includes original scientific publications. The research interests of the ethnographer were formed as a result of his acquaintance with the works of the leading Ukrainian scientists P. Chubynsky, F. Volkov and V. Antonovych. Since the time of Yu. Pavlovich’s work in the Cabinet of Anthropology and Ethnology of the Academy of Sciences of Ukraine named after F. Volkov, his ethnological activity acquired consistency and was regulated by the ethnographic scientific projects of this institution. According to these programs, the scientist participated in monographic studies of settlements, successfully mapped the phenomena of material culture and carried out field ethnographic research.

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 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)0.003
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.309
Threshold uncertainty score0.952

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0000.051
Scholarly communication0.0000.000
Open science0.0020.003
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.076
GPT teacher head0.356
Teacher spread0.280 · 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 teacher head, not a consensus.

Study designBench or experimental
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".

Quick stats

Citations0
Published2021
Admission routes1
Has abstractyes

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