RANKING: Easy Analytic Software, Inc., Easy Analytic Software Inc. (EASI). Consumer Expenditures - 2016: Expenditures – Home | State: New York | Socioeconomic Indicator: Window air conditioners, Renter, 2016. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 050-428-002
Bibliographic record
Abstract
Easy Analytic Software, Inc., Easy Analytic Software Inc. (EASI). Consumer Expenditures - 2016: Expenditures – Home | State: New York | Socioeconomic Indicator: Window air conditioners, Renter, 2016. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 050-428-002 Dataset: Average annual household expenditures for housing and various household products other than food. Shows average annual household expenditures among consumers in the United States for 600+ categories of expenditures, representing a model of spending potential. Data are from the nationwide Consumer Expenditure Survey (CEX), conducted annually by the US Bureau of Labor Statistics and the US Census Bureau. Easy Analytic Software Inc. (EASI) applies its statistical modeling technology and demographic profiles of various geographic areas to CEX data. The data are modeled against updated demographic estimates using a proprietary method to develop estimates for 2016 and 5-year projections. Definitions of individual expenditure items can be found in the CEX glossary: http://www.bls.gov/cex/csxgloss.htm http://www.easidemographics.com/ Category: Prices, Consumption, and Cost of Living Subject: Households, Expenditures, Consumer Products, Consumer Spending Source: Easy Analytic Software Inc. (EASI) Easy Analytic Software Inc. (EASI) is a New York-based software engineering and statistical modeling firm that specializes in consumer demographics. Using input data from the Census Bureau, Bureau of Labor Statistics, and Mediamark, EASI develops model-based indicators of the demographic characteristics, consumer spending, and behavior patterns for a wide range of geographic areas—state, counties, census tracts, and block groups. Mediamark is a market research firm that annually publishes The Survey of the American Consumer, based on detailed interviews of 26,000 households. http://www.easidemographics.com/
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.032 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.005 | 0.011 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.315 | 0.282 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".