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Record W7127956445 · doi:10.15388/knygotyra.2003.45177

Museum and education. Museum pedagogics. Museum specialist as an educator

2003· article· lt· W7127956445 on OpenAlexaboutno aff
Irina Kossova

Bibliographic record

VenueKnygotyra · 2003
Typearticle
Languagelt
FieldArts and Humanities
TopicMuseums and Cultural Heritage
Canadian institutionsnot available
Fundersnot available
KeywordsMuseum educationEntertainmentMuseologyMuseum informaticsCultural institutionContinuing education

Abstract

fetched live from OpenAlex

Recent times have brought into being a new concept of edutainment. More and more museum is valued and evaluated not only as a provider of knowledge but also as a specific place for experience, entertainment and education. Such attitude towards a museum forms the basic concepts of the museum pedagogics which, in its own place, constitutes the theoretical framework of the cultural and educational activities of a museum. In Russia, as well as in Germany, United Kingdom, Canada, USA and other countries, the development of the museum pedagogics is determined by the cultural policy and strategy defining the use of the museum educational potential. A creative laboratory Museum pedagogics was formed in 1990 within the Academy of Continuing Education for the Cultural Workers in Moscow, Russia. The laboratory serves as a dynamic model for educating museum educators who are in charge of cultural and educational activities of a museum. Thanks to the successful and open activities of this laboratory as well as to many conferences in regional museums, interesting educational and amusing programmes targeted at various publics appeared in Russian museums.

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.095
Threshold uncertainty score0.317

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.004
Science and technology studies0.0020.004
Scholarly communication0.0060.008
Open science0.0010.004
Research integrity0.0050.003
Insufficient payload (model declined to judge)0.0950.018

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 head0.039
GPT teacher head0.286
Teacher spread0.247 · 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 designQualitative
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
Published2003
Admission routes1
Has abstractyes

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