MétaCan
Menu
Back to cohort
Record W4221120354 · doi:10.1111/rmir.12201

Residential property insurance and markets: Florida's QUASR data

2022· article· en· W4221120354 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueRisk Management and Insurance Review · 2022
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHousing Market and Economics
Canadian institutionsnot available
Fundersnot available
KeywordsProperty insuranceBusinessActuarial scienceProperty marketQuarter (Canadian coin)Imputation (statistics)Residential propertyFinanceInsurance policyEconomicsGeneral insuranceMissing dataReal estate

Abstract

fetched live from OpenAlex

Abstract Section 624.424(10) of the Florida Statutes requires insurers doing business in the State of Florida to file quarterly residential property insurance reports (commercial and residential) to the Florida Office of Insurance Regulation via the Quality Supplemental Report (QUASR) system. The data are reported quarterly at the county level for 13 distinct lines of business and include information on policies in force (and underlying changes in polices during the quarter), premiums, and exposures. The QUASR data are unusual in their level of granularity and as such, should be of potential value to researchers pursuing research topics in the areas of market competition, insurance market development, and insurer/insurance market performance as well as to instructors considering projects involving data management, market and insurer‐level analysis, missing data imputation methods, forecasting, or projects that examine changes across periods of market disruptions and recovery.

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.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.838
Threshold uncertainty score0.852

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.000
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 head0.036
GPT teacher head0.230
Teacher spread0.194 · 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