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Record W7058143729

Metropolitan Report - April 2008

2008· article· en· W7058143729 on OpenAlexaboutno aff

Bibliographic record

VenueScholarWorks - UNO (University of New Orleans) · 2008
Typearticle
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)Metropolitan areaUnemploymentGovernment (linguistics)UnderemploymentHospitalityWages and salariesUnemployment rate
DOInot available

Abstract

fetched live from OpenAlex

The United States economy is predicted to see its growth near zero in the first quarter of 2008 and then to recover slowly.Whether the economy experiences a recession in technical terms, the pain of a national economic slowdown is a reality. With low levels of unemployment due to reduced population and the stimulus of the rebuilding effort, it is likely that New Orleans will be somewhat insulated from the national economic downturn. In New Orleans, initial unemployment claims fell from an average of about 860 per week prior to Katrina to less than 400 per week in contrast to the sharp rise in claims at the national level during the first quarter of the year. With Katrina, New Orleans lost about 30 years of population growth.The population is still recovering, but the rate has slowed from the quick rate of return right after the storm.The forecast is for population to average 1,174,000 in 2009. Both population and employment are at about 86% of pre-Katrina values.Population and jobs are recovering at similar rates. Improvements are continuing in the tourism sector.With 7.1 million visitors to New Orleans in 2007, tourism has seen a stronger than expected movement towards recovery.However, higher costs in the industry and a national economic slowdown may slow the recovery in 2008.

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 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: Empirical · Consensus signal: none
Teacher disagreement score0.370
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.1440.000

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 head0.021
GPT teacher head0.236
Teacher spread0.215 · 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 designNot applicable
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
Published2008
Admission routes1
Has abstractyes

Explore more

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