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Record W6920193150 · doi:10.6068/dp14ba9346bed24

Trend 1993 - 2012. United States Census Bureau. State and Local Government Employment: Part-Time Hours | Country: USA | State: California | City: ONTARIO | Employee Type: Totals for Government, 1993-2012. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 001-029-005.

2015· other· en· W6920193150 on OpenAlexaboutno aff

Bibliographic record

VenueData Planet · 2015
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsCensusPayrollAmerican Community SurveyLocal governmentGovernment (linguistics)PopulationState (computer science)Current Population Survey

Abstract

fetched live from OpenAlex

United States Census Bureau (2015). State and Local Government Employment: Part-Time Hours | Country: USA | State: California | City: ONTARIO | Employee Type: Totals for Government, 1993-2012. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. [Data-file]. Dataset-ID: 001-029-005. Dataset: These data represent the number of hours worked by part-time employees during the pay period. Note: These data are used to calculate full-time equivalent employment data. Data in these files are based on information obtained in the Annual Survey of Government Employment and Payroll. The survey measures the number of state and local government employees and their gross payrolls for the pay period including March 12. The survey provides data on full-time and part-time employment, part-time hours worked, full-time equivalent employment, and payroll statistics by governmental function. Data from the Census of Governments: Employment Component and the Annual Survey of Public Employment and Payroll are available for each year 1992-current with the exception of 1996. There was no Annual Survey of Public Employment and Payroll for 1996. The base reporting period for measuring employment and payrolls was changed from October to March. This change became effective with the 1997 Census of Governments. Category: Government and Politics Source: United States Census Bureau The United States Census Bureau is a bureau of the United States Department of Commerce. The major functions of the Census Bureau are authorized by Article 2, Section 2 of the United States Constitution, which provides that a census of population shall be taken every 10 years, and by Title 13 and Title 26 of the United States Code of Federal Regulations. The Census Bureau is responsible for numerous statistical programs, including census and surveys of households, governments, manufacturing and industries, and for United States foreign trade statistics. The first United States census was conducted in 1790 for the purposes of apportioning state representation in the House of Representatives of the United States and for the apportionment of taxes. http://www.census.gov Subject: State Government, Part-Time Workers, Civil Service, Work Hours, Local Government

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)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient 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 score0.926
Threshold uncertainty score0.806

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.013
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0040.020
Science and technology studies0.0010.000
Scholarly communication0.0020.003
Open science0.0030.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0740.078

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 head0.046
GPT teacher head0.283
Teacher spread0.237 · 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.

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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