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Record W2222164678

Philippines 2007 National Transfer Accounts: Consumption, Income, and Intergenerational Reallocation of Resources

2012· preprint· en· W2222164678 on OpenAlexfundno aff
John Michael Ian Salas, Michael R.M. Abrigo, Rachel H. Racelis

Bibliographic record

VenueEconstor (Econstor) · 2012
Typepreprint
Languageen
FieldSocial Sciences
TopicMigration, Aging, and Tourism Studies
Canadian institutionsnot available
FundersInternational Development Research CentreThailand Development Research InstituteNihon University
KeywordsConsumption (sociology)EconomicsPopulationAge structureNational accountsTransfer (computing)Aggregate dataDemographic economicsBusinessAgricultural economicsDemographyMacroeconomicsComputer science
DOInot available

Abstract

fetched live from OpenAlex

The 2007 NTA for the Philippines provides more recent information about which population age groups incur lifecycle deficit, the sizes of the aggregate deficits, and how consumption is financed for the different age groups. It also provides age profiles for consumption and labor income (and components) estimated using 2007 data. The 2007 Philippines NTA serves two main purposes: it provides the update on the economic lifecycle information for the Philippines that was first generated by the 1999 NTA; and it provides updated age profiles for consumption and labor income that can be used to examine the economic implications of change in the size and age structure of Philippine population that is projected for the future.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.215
Threshold uncertainty score0.427

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.010
Science and technology studies0.0010.000
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0220.007

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 head0.026
GPT teacher head0.287
Teacher spread0.261 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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
Published2012
Admission routes1
Has abstractyes

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