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Foreign experience in the implementation of innovative technologies in small and medium-sized businesses in new market conditions

2022· article· en· W4283715112 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

VenueResearch Result Economic Research · 2022
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicRegional Economic Development and Innovation
Canadian institutionsnot available
Fundersnot available
KeywordsBusinessSmall businessLegislationSmall and medium-sized enterprisesIndustrial organizationState (computer science)Market developmentCommerceMarket economyMarketingEconomicsFinancePolitical science

Abstract

fetched live from OpenAlex

Abstract. The article presents the results of a study of foreign experience in the implementation of innovative technologies in small and medium-sized enterprises. An overview of state support institutions and forms of stimulating innovation activity in the USA, Japan, France, Germany, Canada, and the United Kingdom was presented. The result of a comparative review of the directions of state support in these countries is the identifica-tion of similar methods of supporting small and medium-sized innovative entrepreneur-ship. The Russian problems of innovative development of small and medium-sized en-terprises are identified, in particular, instability of Russian legislation, high taxes, corrup-tion, lack of financial resources, high initial costs for business organization, saturation of sales markets, uneven development of regions, a pandemic. Modern innovative market-ing technologies that allow increasing the market share and income of small and medi-um-sized enterprises are highlighted.

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)0.011
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.220
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.004
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.190
GPT teacher head0.420
Teacher spread0.230 · 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