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Record W7021013458

Morgantown MSA Economic Monitor June 2006

2006· article· en· W7021013458 on OpenAlexaboutno aff

Bibliographic record

VenueThe Research Repository @ WVU (West Virginia University) · 2006
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHousing Market and Economics
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)Index (typography)Cost of livingLiberian dollarWest virginiaStandard of livingClothingGoods and servicesPrice indexOrder (exchange)
DOInot available

Abstract

fetched live from OpenAlex

For the start of 2006, the Morgantown MSA was level with the national average of a select group of urbanized areas in the U.S., according to the ACCRA Cost of Living survey.Out of the 297 cities who participated in this quarterly survey, Morgantown ranked 96 highest.The ACCRA Cost of Living Index is a measure of regional cost differentials faced by professional/executive households in the top income quintile, as reflected in prices of a fixed market basket goods and services, which does not incorporate taxes beyond sale tax.In order to measure these cost differentials researchers each quarter in participating areas, like Morgantown, collect prices on 60 specific items by visiting a number of grocery and clothing stores in the area and calling establishments such as doctors and service providers.The prices gathered in each community were then sent to ACCRA, who performed quality control evaluations and computed a weighted average for each area.For the first quarter of 2006, Morgantown's composite cost of living index was estimated to be 0.4 percent below the average cost of living in the U.S. for professional/executive households.What this means is that for every dollar that is required to maintain the standard of living for professional household across the country, Morgantown area residents are only required to spend 99.6 cents.ACCRA also calculated the first quarter of 2006 index through a weighting structure that included the expenditure categories of grocery items, housing, utilities, transportation, health care, and miscellaneous goods and services.Each category holds a certain weight.For instance, housing costs carry a weight of 29 percent of the total index while utility costs carry a weight of 10 percent.In the Morgantown area, utility, transportation, health care, and housing costs were estimated to be above the average of the participating areas in the first quarter of 2006, as shown in Table 1.Utility costs for the area, which includes electric, natural gas, and telephone rates, placed Morgantown in the top 24 percent of the participating cities.Transportation costs for Morgantown landed 3.5 percent above the average but 5.1 percent below Washington, DC.Doctor, dentist, optometrist, and drug costs for the Morgantown area were also above the average with an index of 104.6.This index puts the Morgantown in the same health care cost range as Winston-Salem, NC but well below other Eastern college communities such as Charlottesville, VA and Columbus, OH.Housing costs in Morgantown were estimated at 1 percent above the average of participating cities.This leaves Morgantown's housing costs near the average for the first quarter but they landed 14 percent and 14.6 percent above the estimated indexes for Charleston and Pittsburgh, PA.

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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.202
Threshold uncertainty score0.674

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.005
Science and technology studies0.0010.000
Scholarly communication0.0040.002
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.2020.191

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 head0.030
GPT teacher head0.232
Teacher spread0.202 · 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

Citations0
Published2006
Admission routes1
Has abstractyes

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