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Record W6901679443 · doi:10.6068/dp166ea14473311

TREND: Statistics Canada. CANSIM: Household Characteristics | Province: Manitoba, New Brunswick | Sub Province: Manitoba and Saskatchewan | Table: 358-0021, 358-0022, 358-0023 | Variable: Average expenditure per order per household (dollars)-, 2001 - 2003. Data Planet™ Statistical Datasets: A SAGE Publishing Resource Dataset-ID: 075-001-099

2018· other· en· W6901679443 on OpenAlexaboutno aff

Bibliographic record

VenueData Planet · 2018
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsEconomic statisticsCensusSummary statisticsPopulationOfficial statisticsPopulation statisticsSocioeconomic statusDescriptive statistics

Abstract

fetched live from OpenAlex

datasets.shared.infosheet.CitationMgr@544 Dataset: Presents statistics on the characteristics of Canadian households, including number of persons in a household and household type (family or non-family households); tenure (owning or renting); the household maintainer (who pays the rent or mortgage); the number of persons per room; and shelter costs such as mortgage or rent payments, electricity, heating fuel, property taxes, and condominium fees. 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. NOTE: Per Statistics Canada, the data download files available for the CANSIM database do not include information on hierarchical relationships among data values; ie, it is not possible to determine what subtotal values for a variable are included in a total value. The absence of this information renders the exported data values meaningless. For this reason, Data-Planet has archived the dataset. http://www5.statcan.gc.ca/cansim/ Category: Population and Income Subject: Households, Housing Characteristics, Families, Family Size 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/

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 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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Open science, Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.053
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0050.005
Meta-epidemiology (broad)0.0040.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0070.005
Open science0.0140.010
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0230.001

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 head0.024
GPT teacher head0.227
Teacher spread0.203 · 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; both teacher heads agree on what is shown here.

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
Published2018
Admission routes1
Has abstractyes

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