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Record W1933760542 · doi:10.5430/jms.v6n3p38

Economy as a Subsystem of the Society

2015· article· en· W1933760542 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

VenueJournal of Management and Strategy · 2015
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Development and Digital Transformation
Canadian institutionsnot available
FundersRussian Academy of Sciences
KeywordsProcess (computing)Simple (philosophy)Production (economics)Resource (disambiguation)State (computer science)Key (lock)Knowledge economyManagement scienceSocial systemEconomic systemComputer scienceEconomicsKnowledge managementEpistemologyArtificial intelligenceMicroeconomics

Abstract

fetched live from OpenAlex

Current state of both the economic theory and the economic practice requires not “minor repairs”, but the entire re-thinking of the foundations of the existence of economics as one of the social sub-systems in the unified system Nature-Society-Human. It is clear that the way to surmount the ongoing economic collapse should be searched not in other “methods” of implementation of the principles that led to it, but in finding new principles of the whole economic system. As one of the possible variants of considering the problem we propose the author’s concept of the knowledge-based economy in accordance to which the scientific knowledge is viewed as the key resource of the formation of the social wealth, and the process of its production is considered to be an integrated technological chain consisting of the mental, information and material productions. This approach brings about the necessity of radical reconsideration of the whole system of economic categories and the models, methods, criteria and indicators based on this system. At the same time it provides us with simple guidelines in the complex theoretical disputes and in the practical activities aimed at forming the basics of the knowledge-based economy.

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)0.000
Version: codex-gemma-dda1882f352aValidation 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: Empirical · Consensus signal: none
Teacher disagreement score0.567
Threshold uncertainty score0.185

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.051
GPT teacher head0.204
Teacher spread0.153 · 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