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Record W7034461220

Virginia Tech - U.S. Forest Service December 2015 Housing Commentary. Part B

2016· other· en· W7034461220 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

VenueVTechWorks (Virginia Tech) · 2016
Typeother
Languageen
FieldArts and Humanities
TopicSyntax, Semantics, Linguistic Variation
Canadian institutionsnot available
Fundersnot available
KeywordsInvestment (military)Quarter (Canadian coin)Goods and servicesConsumer spendingService (business)Consumer expenditureInvestment goodsPersonal consumption expenditures price indexReal gross domestic product
DOInot available

Abstract

fetched live from OpenAlex

Consumer Spending"In CBO's estimation, solid growth in consumer spending on goods and services will be an important contributor to the growth of real output.That contribution this year will be nearly the same as in 2015about 1.9 percentage points (as measured from the fourth quarter of the previous year)and then fall slightly to 1.8 percentage points in 2017.CBO estimates that consumer spending will contribute less to the growth of output thereafter.CBO estimates that real business investment will contribute 0.6 percentage points to the growth rate of real GDP in 2016 and 0.5 percentage points in 2017up from a contribution of 0.2 percentage points in 2015.The contribution in 2016 accounts for most of this year's increase in the projected growth in real GDP.CBO estimates that real business investment will contribute less to the growth of output in later years.All of the contribution from business investment will be from investment in fixed assets rather than from inventory accumulation because businesses have largely restored the ratio of their inventories to sales to the desired level, in CBO's view (Figure 234)." Residential Investment"CBO anticipates that construction of new homes will be the primary contributor to residential investment, mainly because of expected continued strength in household formation.Other factors include less restrictive mortgage lending standards and robust demand for replacement housing units.Although mortgage lending standards remain tighter than they were before the 2007-2009 recession, they have been loosening over the past few years and probably will continue to loosen.CBO anticipates that stronger growth in demand for housing will put upward pressure on house prices.In 2015, house prices (as measured by the Federal Housing Finance Agency's price index for home purchases) rose by 4.4 percent (on a fourth-quarter-to-fourth-quarter basis), in CBO's estimation.CBO projects that they will increase by 2.1 percent in 2016 and by about 2.4 percent per year, on average, over the 2017-2020 period.That outlook accounts for the projected increase in the supply of housing units, which is expected to temper the price gains resulting from stronger housing demand (Figure 2-4)."-Congressional Budget Office

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.053
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0380.006

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 head0.019
GPT teacher head0.250
Teacher spread0.231 · 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