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Record W7053983645

Що вивчають соціальні науки: інститути чи інституції?

2024· article· uk· W7053983645 on OpenAlexaboutno aff

Bibliographic record

VenueThe Scientific Issues of Ternopil Volodymyr Hnatiuk National Pedagogical University Series pedagogy · 2024
Typearticle
Languageuk
FieldEngineering
TopicPlasma Diagnostics and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsUkrainianInstitutionalismPoliticsSubject (documents)Order (exchange)Soviet unionTRACE (psycholinguistics)Quarter (Canadian coin)Social order
DOInot available

Abstract

fetched live from OpenAlex

This article deals with the concept of social studies, which are subject to ongoing debate. In the tradition of Western scholars, this scientific concept is referred to as „institutions". In the post-Soviet space, in particular, in Ukraine, there are two terms: „institutes" and „institutions". In the first case, the polemic focuses on what aspects of institutions and their functioning should be studied to acquire essential knowledge for developing and adopting effective management decisions that contribute to improving the situation in all spheres of social relations and social behaviour. After all, institutions are decisive structural components and regulators of society's functioning as a system. In the second case, the debate also focuses on how to adapt the term „institutes" to the conceptual framework of institutional economic, political and other social studies. The origins of this debate trace back to the Soviet Union era. Then, as we know, the vectors of scientific research were determined from Moscow. Russian translations of the research results from Western scholars were carried out there and distributed from there. Sometimes there were situations of incorrect translations and inadequate interpretations. This is how the term-concept „institutions" was split into two: „institutions" and „institutes", and in favour of the latter. This happened contrary to the terminological tradition of institutional studies initiated in the West in the last quarter of the 1800s. Since the early 1990s, updated paradigms of institutionalism have become one of the main instruments of social cognition for many scholars worldwide, including Ukrainian ones. In order to effectively apply this instrument to study, forecasting and modelling probable and desirable social changes in one's own and other countries, it is necessary to align the terms and concepts of the national scientific discourse with the relevant thesaurus of institutional studies in the countries where these studies began and continue to be leading. In this case, it will be necessary to acknowledge the fact that the object and subject of the latter are phenomena known as „institutions" rather than „institutes". Of course, there is a connection between these two terms and concepts. However, it is neither object-subject nor conceptual; it is infrastructural. Institutes are organizations where scholars investigate theoretical and applied aspects of the formation and functioning of social institutions. And those who study at institutes study the results of institutional research and have the opportunity to participate in such research. In short: institutions are studied in institutes. The first part of the article discusses the genesis of the terms and concepts of „institutions" and „institutes" in the scientific discourse in Ukraine. The second part is about the interpretation of these terms and concepts in the West. Comparing the two discourses and their histories has provided arguments for the conclusion about the necessity of harmonising the former with the second. Perhaps this proposal will require a targeted discussion.

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)0.003
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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.011
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.009
Scholarly communication0.0080.003
Open science0.0010.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0110.005

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 head0.056
GPT teacher head0.323
Teacher spread0.267 · 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 designTheoretical or conceptual
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
Published2024
Admission routes1
Has abstractyes

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