MétaCan
Menu
Back to cohort
Record W6957604113 · doi:10.6068/dp150396d39ce12

Trend 1990 - 2008. United Nations Economic Commission for Europe. Macroeconomic Statistics [Archive]: GDP: Expenditure Approach, in National Currency | Country: Italy | Selection 1: GDP | Selection 2: Millions of NCUs at average prices of 2005, 1990-2008. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 054-001-004.

2015· other· en· W6957604113 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

VenueData Planet · 2015
Typeother
Languageen
FieldArts and Humanities
TopicLinguistics and Language Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsNational accountsCommissionCurrencyOfficial statisticsEconomic statisticsGross fixed capital formationMeasures of national income and outputInternational Standard Industrial ClassificationDescriptive statistics

Abstract

fetched live from OpenAlex

United Nations Economic Commission for Europe (2015). Macroeconomic Statistics [Archive]: GDP: Expenditure Approach, in National Currency | Country: Italy | Selection 1: GDP | Selection 2: Millions of NCUs at average prices of 2005, 1990-2008. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. [Data-file]. Dataset-ID: 054-001-004. Dataset: Shows GDP in national currencies, measured by expenditures for goods and services, with detail for capital formation and changes in inventories. The Macroeconomic Statistics database presents a structured set of economic indicators for the 56 member states of the United National Economic Commission on Europe (UNECE) region, which include the countries of Europe, but also Canada, the United States, Kazakhstan, Kyrgyzstan, Tajikistan, Turkmenistan, Uzbekistan, and Israel. The data are compiled by the Statistical Division of the UNECE Secretariat from different official national and international sources. Data available varies by country. NOTE: Data-Planet discontinued updating of this dataset in 2011 due to irregularities in the data structure. For more recent data on similar topics, please see the Eurostat database. Data on GDP by expenditure are in the standard Commission of European Communities-Eurostat 1993 System of National Accounts classification of transactions in goods and services. Constant price estimates are based on data compiled by the National Statistical Offices (NSOs). To facilitate international comparisons, the data reported by the NSOs have been scaled to the current price value of 2005. As mentioned above, since early 2006, most UNECE countries moved to chain-linking to measure their national accounts aggregates in volume terms. Users who work with chained levels must be aware that chain-linking results in the loss of additivity of volume series for all years except for the reference year and the year following it. Non-additivity arises for purely mathematical reasons; the discrepancies should not be interpreted as indications of loss of quality. Category: Industry, Business, and Commerce, International Relations and Trade Source: United Nations Economic Commission for Europe The United Nations Economic Commission for Europe (UNECE) was established in 1947 as one of the five regional economic commissions of the United Nations. Its major aim is to promote pan-European economic integration. To do so, UNECE brings together 56 countries located in the European Union, non-EU Western and Eastern Europe, South-East Europe and Commonwealth of Independent States (CIS) and North America. All these countries dialogue and cooperate under the aegis of the UNECE on economic and sectoral issues. http://www.unece.org/ Subject: Gross Domestic Product (GDP)

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.092
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0120.000

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 head0.039
GPT teacher head0.277
Teacher spread0.238 · 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