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The American Time Use Survey: cognitive pretesting

2016· article· en· W14373120 on OpenAlex
Usa K. Schwartz

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

VenueSouthern Medical Journal · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicWork-Family Balance Challenges
Canadian institutionsnot available
Fundersnot available
KeywordsEarningsSurvey data collectionFull-timeNational Longitudinal SurveysQuarter (Canadian coin)PsychologyWork (physics)BusinessEconomicsEngineeringDemographic economicsEconomic growthStatisticsGeographyAccounting

Abstract

fetched live from OpenAlex

Usa K. Schwartz is a research psychologist and Associate Program Manager of the American lime Use Survey, Division of Labor Force Statistics, Bureau of Labor Statistics. In feasibility tics the (bls, early the 1990s, of Bureau) conducting the Bureau began a of new exploring Labor survey Statisthe to tics (bls, the Bureau) began exploring the feasibility of conducting a new survey to measure how Americans spend their time. The primary purposes of the survey were (and still are) to improve estimates of time spent in nonmarket activities (for example, child care) and in market-related work and to provide data on a variety of quality-of-life indices beyond income and earnings. In 1998, a bls working group developed specifications for the American Time Use Survey and began pretesting the questionnaire through a series of cognitive studies that investigated how respondents understood and interpreted the survey's concepts and questions. Today, the Bureau continues developing and testing the survey, with full production scheduled for calendar year 2003.

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)0.007
metaresearch head score (Gemma)0.027
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.288
Threshold uncertainty score0.981

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.027
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.040
GPT teacher head0.323
Teacher spread0.283 · 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