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Record W3122107157

Keeping in Touch – A Benefit of Public Holidays

2006· preprint· en· W3122107157 on OpenAlexfundno aff
Joachim Merz, Lars Osberg

Bibliographic record

VenueEconstor (Econstor) · 2006
Typepreprint
Languageen
FieldSocial Sciences
TopicGender, Labor, and Family Dynamics
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of CanadaRheinische Friedrich-Wilhelms-Universität Bonn
KeywordsGermanSocial benefitsBusinessLeisure timeAdvertisingDemographic economicsEconomicsGeographyPhysical activity
DOInot available

Abstract

fetched live from OpenAlex

Diese Studie argumentiert, dass Feiertage die Koordination von Freizeit fördern nicht aber den jährlichen Umfang von Freizeit beschränken. Feiertage bringen deshalb einen Gewinn einerseits an Freizeitnutzen an Feiertagen selbst und - indem sie leichter soziale Kontakte ermöglichenandererseits an Freizeitnutzen an normalen Wochentagen und Wochenenden. Die Studie nutzt die Variation (13 bis 17) an Feiertagen in den verschiedenen Bundesländern auf der Basis der deutschen Zeitbudgetstudie 2001-02 um zu zeigen, dass Feiertage einen Gewinn bezüglich des sozialen Lebens an normalen Wochentagen und Wochenenden erbringen. Da dieser Gewinn zusätzlich zum Nutzen aus Feiertagen ist, spricht dies für vermehrte öffentliche Feiertage.

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.021
Threshold uncertainty score0.070

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0210.001

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 head0.031
GPT teacher head0.272
Teacher spread0.241 · 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 designObservational
Domainnot available
GenreEmpirical

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

Citations6
Published2006
Admission routes1
Has abstractyes

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