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Record W6958049221 · doi:10.6068/dp14ba7b78b8927

Trend 1981 - 1991. Statistics Canada. CANSIM: Economic Accounts - Income and Expenditure Accounts | Country: Canada | Table: Final domestic demand at 1986 prices | Variable: Business farm inventory change (x 1,000,000) | Units: $CAD, 1981-1991. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-062.

2015· other· en· W6958049221 on OpenAlexaboutno aff

Bibliographic record

VenueData Planet · 2015
Typeother
Languageen
FieldSocial Sciences
TopicGlobal Political and Social Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsEconomic statisticsNational accountsNational Income and Product AccountsGross domestic productSummary statisticsOfficial statisticsWages and salariesPersonal incomeCensusSocioeconomic statusGross domestic income

Abstract

fetched live from OpenAlex

Statistics Canada (2015). CANSIM: Economic Accounts - Income and Expenditure Accounts | Country: Canada | Table: Final domestic demand at 1986 prices | Variable: Business farm inventory change (x 1,000,000) | Units: $CAD, 1981-1991. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. [Data-file]. Dataset-ID: 075-001-062. Dataset: Presents statistics on incomes earned in current economic production and final sales of current production, for the four sectors of the Canadian economy: personal, business, government, and nonresident. Corporate profits, wages and salaries, personal expenditures on goods and services, exports, and imports, are examples. The data provide a measure of Gross Domestic Product, from both the expenditure and income sides. CANSIM is Statistics Canada's key socioeconomic database. The datasets included here provide statistics on the Canadian population, and the nation’s resources, economy, society, and culture. In addition to conducting a Census every five years, approximately 350 active surveys are conducted on virtually all aspects of Canadian life. Statistics are provided for the nation as a whole, provinces, and other subnational geographies where available. Category: Industry, Business, and Commerce Source: Statistics Canada Established as Canada's central statistical office by the Statistics Act of 1985, Statistics Canada is required to "collect, compile, analyse, abstract and publish statistical information relating to the commercial, industrial, financial, social, economic and general activities and conditions of the people of Canada." Its main objectives are to provide statistical information and analysis about Canada’s economic and social structure and to promote sound statistical standards and practices. http://www.statcan.gc.ca/ Subject: Expenditures, Economic Conditions, Economy, Gross Domestic Product (GDP), Gross National Income (GNI)

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.014
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.121
Threshold uncertainty score0.406

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.014
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0080.037
Science and technology studies0.0030.001
Scholarly communication0.0040.003
Open science0.0040.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.1210.072

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 head0.032
GPT teacher head0.272
Teacher spread0.240 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreDataset

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2015
Admission routes1
Has abstractyes

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