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Record W2160269691 · doi:10.5539/ass.v11n3p242

Accounting Features of Intellectual Property in High School

2014· article· en· W2160269691 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.

venuePublished in a venue whose home country is Canada.
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

VenueAsian Social Science · 2014
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgricultural and Financial Auditing
Canadian institutionsnot available
Fundersnot available
KeywordsCommercializationIntellectual propertyBusinessState (computer science)Inclusion (mineral)AccountingAcademic communityEconomic systemEconomic growthPolitical scienceEconomicsMarketingSociologyLaw

Abstract

fetched live from OpenAlex

Implementation of the strategic goal of integrating Russia into the world economy requires the definition of newpriorities that determine the country's competitiveness in international markets. Generating new knowledgecreation on their basis of technologies and their use in the socio-economic development of the state directlydetermine the role and place in the world community, the standard of living and national security.Traditionally, it is universities and academic institutions were the source of the fundamental knowledge thatunderlies the new products and processes. And it is this knowledge now determines the economiccompetitiveness of universities, institutes, companies, and the country as a whole. Inclusion of universities ineconomic relations occurs, including through the commercialization of intellectual property.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.984
Threshold uncertainty score0.326

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.010
GPT teacher head0.202
Teacher spread0.192 · 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