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Record W2890855849

Study on Net Investment in the National Economy in 2017

2018· article· en· W2890855849 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

VenueRomanian Statistical Review Supplement · 2018
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicFiscal Policies and Political Economy
Canadian institutionsnot available
Fundersnot available
KeywordsInvestment (military)Quarter (Canadian coin)ResidenceConsumption (sociology)PopulationWork (physics)National accountsBusinessEconomicsEconomyEconomic growthMarket economyGeographyEngineeringDemographic economicsPolitical science
DOInot available

Abstract

fetched live from OpenAlex

As we know, economic growth can be achieved either on the account of consumption or on the account of investment, access to community funds or the middle, mixed, by establishing realistic proportions between consumption and investment so as to ensure an increase in the level of living as well as increasing job-creating investments to absorb the unoccupied population, to create a wider tax base and much more. In this article I made a study on the net investments made in the national economy that were materialized in new construction works, the purchase of machinery, including means of transport, as well as other expenses that are made in this field. Also, referring to housing construction, it was mentioned how it evolved in the fourth quarter of 2017 as compared to 2016, how it evolved throughout the year, and especially how these investments materialized in finished work on environments residence and funding resources, with the emphasis being on the fact that there is a higher share of urban investment in the construction of housing. Further analysis of the housing completed by development regions was made, emphasizing that Bucharest-Ilfov, the North West and the North-East area were the most active in developing such investments. In the study, the authors used a series of data published by the National Institute of Statistics, revealing on the basis of series of data and graphic representations the issues discussed in this article. It is revealed that in principle these investments have increased with the exception of the fourth quarter of 2017, when compared to the same quarter of 2016, both in urban and rural areas but also in the use of private and public funds – have registered some decreases. Probably this is also due to the fact that climate factors, temperatures, and so on. did not make it possible to use the possibilities of continuation of construction works. The study is balanced and reveals successive developments in this area, based on seasonally adjusted gross or series data.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.930
Threshold uncertainty score0.998

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)0.0030.003

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 head0.093
GPT teacher head0.345
Teacher spread0.252 · 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