RANKING: (PWC) Nielsen. Nielsen Pop-Facts Premier: 2000 Population by Age | Indicator: 2000 Population, Female: Age 35+, 2000. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 080-001-007
Bibliographic record
Abstract
(PWC) Nielsen. Nielsen Pop-Facts Premier: 2000 Population by Age | Indicator: 2000 Population, Female: Age 35+, 2000. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 080-001-007 Dataset: This dataset provides base counts of the population in the United States as of 2000 by age group, by gender and age group, and by college attendance and graduation for those age 25+. Also included in this grouping are counts of households, by housing unit value of owner-occupied units, and by household income. Please be advised that any Nielsen data is solely for internal use only of PwC US. For external use please contact US_DADS-Data@pwc.com. Nielsen Pop-Facts Premier provides demographic data on the US population based on Census and American Community Survey (ACS) data. Pop-Facts Premier provides current-year estimates and five-year projections. For this release, current-year and five-year refers to 2016 estimates and 2021 projections, respectively. The data set also provides data for 2000 and 2010 census years for current year geographies. This release makes full use of all Census 2010 results. The 2016.1 update continues the full use of ACS 5-Year data at the block group level. The 2016.1 update continues to utilize annual releases of 1-Year, 3-Year, and 5-Year ACS data for all areas. For additional sources used in the demographic estimation program, see the technical documentation. Statistics are provided for subnational geographies and for Nielsen-designated marketing areas. https://www.claritas.com/sitereports/demographic-reports.jsp Category: Population and Income, Education Subject: Educational Attainment, Sociodemographic Characteristics, Households, Household Income, Age Groups, Gender, Population Size, College Attendance, Age, Owner-Occupied Housing Source: Nielsen ***Please be advised that any Nielsen data is solely for internal use only of PwC US. For external use please contact US_DADS-Data@pwc.com.*** Nielsen N.V. (NYSE: NLSN) is a global performance management company that researches consumer behavior and demand worldwide. http://www.nielsen.com/us/en.html
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 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 | 0.002 | 0.015 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.006 | 0.014 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.298 | 0.366 |
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".