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Record W6977118348 · doi:10.6068/dp1577634085763

TREND: Federal Housing Finance Agency. House Price Index: House Price Index - Purchase Only | State: South Carolina | Metropolitan Statistical Area: 1674 | Metropolitan Statistical Area: Charlotte-Gastonia-Concord, NC-SC | Seasonally Adjusted: Seasonally Adj, 1991/1 - 2016/1. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 057-001-002

2016· other· en· W6977118348 on OpenAlexaboutno aff

Bibliographic record

VenueData Planet · 2016
Typeother
Languageen
FieldComputer Science
TopicHistory of Computing Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsUnderwritingMetropolitan areaIndex (typography)Quarter (Canadian coin)House priceMortgage insuranceMortgage underwritingSecuritizationPrice index

Abstract

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Federal Housing Finance Agency. House Price Index: House Price Index - Purchase Only | State: South Carolina | Metropolitan Statistical Area: 1674 | Metropolitan Statistical Area: Charlotte-Gastonia-Concord, NC-SC | Seasonally Adjusted: Seasonally Adj, 1991/1 - 2016/1. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 057-001-002 Dataset: Presents an index (normalized to 100 in the first quarter of 1991) of US single-family home prices, by state. This index only covers new purchases of homes, excluding refinancing. The House Price Index is based on transactions involving conforming, conventional mortgages purchased or securitized by Fannie Mae or Freddie Mac. Only mortgage transactions on single-family properties are included. Conforming refers to a mortgage that both meets the underwriting guidelines of Fannie Mae or Freddie Mac and that does not exceed the conforming loan limit. The House Price Index (HPI) is a broad measure of the movement of single-family house prices. The HPI is published by the Federal Housing Finance Agency (FHFA) using data provided by Fannie Mae and Freddie Mac. The Office of Federal Housing Enterprise Oversight (OFHEO), one of FHFA’s predecessor agencies, began publishing the HPI in the fourth quarter of 1995. The HPI is based on transactions involving conforming, conventional mortgages purchased or securitized by Fannie Mae or Freddie Mac. Only mortgage transactions on single-family properties are included. Conforming refers to a mortgage that both meets the underwriting guidelines of Fannie Mae or Freddie Mac and that does not exceed the conforming loan limit. Conventional mortgages are those that are neither insured nor guaranteed by the FHA, VA, or other federal government entities. Mortgages on properties financed by government-insured loans, such as FHA or VA mortgages, are excluded from the HPI, as are properties with mortgages whose principal amount exceeds the conforming loan limit. Mortgage transactions on condominiums, cooperatives, multi-unit properties, and planned unit developments are also excluded. The HPI is a weighted, repeat-sales index, meaning that it measures average price changes in repeat sales or refinancings on the same properties. This information is obtained by reviewing repeat mortgage transactions on single-family properties whose mortgages have been purchased or securitized by Fannie Mae or Freddie Mac since January 1975. http://www.fhfa.gov/DataTools/Downloads/Pages/House-Price-Index-Datasets.aspx Category: Housing and Construction, Prices, Consumption, and Cost of Living Subject: Single-Family Housing, Home Sales, Housing Market, Home Prices, Price Indexes Source: Federal Housing Finance Agency The Federal Housing Finance Agency (FHFA) was created on July 30, 2008 by the Housing and Economic Recovery Act of 2008. The agency's primary function is to regulate of the U.S. secondary mortgage market, including oversight of Fannie Mae, Freddie Mac, the 12 Federal Home Loan Banks. http://www.fhfa.gov/

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)0.008
Version: metacan-v3-hybrid-931329e0061cValidation 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: Dataset · Consensus signal: Dataset
Teacher disagreement score0.887
Threshold uncertainty score0.378

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.008
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.009
Science and technology studies0.0010.000
Scholarly communication0.0020.002
Open science0.0030.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.1130.169

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 head0.023
GPT teacher head0.264
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.

Study designNot applicable
Domainnot available
GenreDataset

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
Published2016
Admission routes1
Has abstractyes

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