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Record W6920452361 · doi:10.6068/dp150a25d169e35

Map of Countries (2006). United Nations Economic Commission for Europe. Gender Statistics [Archive]: Time Use by Activity | Selection 1: All activities | Selection 2: Both sexes, 2006. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 054-003-066.

2015· other· en· W6920452361 on OpenAlexaboutno aff

Bibliographic record

VenueData Planet · 2015
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsCommissionOfficial statisticsTime-use surveySelection (genetic algorithm)National accountsData collectionEconomic statisticsEconomic dataSocial statistics

Abstract

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United Nations Economic Commission for Europe (2015). Gender Statistics [Archive]: Time Use by Activity | Selection 1: All activities | Selection 2: Both sexes, 2006. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. [Data-file]. Dataset-ID: 054-003-066. Dataset: Shows survey data on average amount of time spent on specific activities each day, by sex. The Gender Statistics database presents sex-disaggregated social data 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 covers the Common Gender Indicators for the UNECE region as well as the data series that are used to calculate these indicators. The data have been supplied by national statistical offices through the network of Gender Statistics Focal Points, and 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. Time use represents the average time spent (hours and minutes) on an activity per day. All days of the week, as well as working and holiday periods are included. Data refer to employed, unemployed and economically inactive people aged 20-74. Gainful work: includes time spent on main and second jobs (including informal employment) and related activities, breaks and travel during working hours, and on job seeking. Study: includes time spent on study at school and during free time. Domestic work includes housework, child and adult care, gardening and pet care, construction and repairs, shopping and services, and household management. Travel includes commuting and trips connected with all kinds of activities, except travel during working hours. Sleep includes sleep during night or daytime, waiting for sleep, naps, as well as passive lying in bed because of sickness. Meals includes meals, snacks and drinks. Personal care includes dressing, personal hygine, making up, shaving, sexual activities and personal health care. Free time includes all other kinds of activities, e.g, volunteer work and meetings, helping other households, socializing and entertainment, sports and outdoor activities, hobbies and games, reading, watching TV, resting or doing nothing. Category: Population and Income 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: Time Utilization, Gender

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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)0.001
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 categoriesInsufficient 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 score0.288
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.007

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 head0.062
GPT teacher head0.302
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; 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".

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Citations0
Published2015
Admission routes1
Has abstractyes

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