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Record W7015897429

U.S. Postal Service: Foreign Posts' Strategies Could Inform U.S. Postal Service's Efforts to Modernize

2011· report· en· W7015897429 on OpenAlexaboutno aff

Bibliographic record

VenueUniversity of North Texas Digital Library (University of North Texas) · 2011
Typereport
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetics, Bioinformatics, and Biomedical Research
Canadian institutionsnot available
Fundersnot available
KeywordsModernization theoryGovernment (linguistics)Customer serviceAccountabilityService delivery frameworkService (business)
DOInot available

Abstract

fetched live from OpenAlex

A letter report issued by the Government Accountability Office with an abstract that begins "The foreign postal operators (foreign posts) in industrialized countries in GAO's review have been experiencing declining letter mail volumes and have modernized their delivery and retail networks to address this challenge. As requested, GAO reviewed the innovations and initiatives that foreign posts are using and the lessons the U.S. Postal Service (USPS) might learn to help it address plummeting mail volumes and record financial losses. This report examines initiatives foreign posts have implemented to improve mail delivery and retail networks and related results, and modernization strategies used by foreign posts that can inform consideration of proposals to improve USPS's financial condition and customer service. GAO selected foreign posts in Australia, Canada, Finland, Germany, Sweden, and Switzerland as case studies based on characteristics, such as delivery and retail changes and country size and location. GAO reviewed foreign posts' documents, including annual reports and strategic plans related to delivery and retail network changes and innovations. GAO met with foreign post officials, toured their retail facilities, received briefings on their delivery and retail networks and other areas, and met with regulators, labor unions, and mailers to obtain their views on the effects of their posts' modernization efforts. USPS generally agreed with GAO's findings and mentioned both its own modernization efforts and the barriers it faces."

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.285
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0020.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.019
GPT teacher head0.214
Teacher spread0.195 · 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 teacher head, not a consensus.

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

Citations0
Published2011
Admission routes1
Has abstractyes

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Same venueUniversity of North Texas Digital Library (University of North Texas)Same topicGenetics, Bioinformatics, and Biomedical ResearchFrench-language works237,207