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Record W2047185702

Indeks giełdowy jako wskaźnik wyprzedzający koniunkturę

2012· article· pl· W2047185702 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

VenueRepoS (Uniwersytetu Przyrodniczo-Humanistycznego w Siedlcach) · 2012
Typearticle
Languagepl
FieldEconomics, Econometrics and Finance
TopicPolish socio-economic development
Canadian institutionsnot available
Fundersnot available
KeywordsIndex (typography)Quarter (Canadian coin)ProsperityStock market indexGross domestic productEconomicsEconomic indicatorEconometricsStock marketGeographyMacroeconomicsEconomic growthComputer science
DOInot available

Abstract

fetched live from OpenAlex

This paper addresses the issue of leading prosperity indicators. The authors verified the hypothesis of advancing GDP changes by the stock market index. Empirical data included gross domestic product and the Polish WIG index in the period from the first quarter of 1995 to the first quarter of 2012. The studied hypothesis was verified. It turned out that the WIG index can be considered to be a leading indicator of GDP, with the anticipation of turning points at an average of about 3 quarters

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)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.826
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0030.004
Meta-epidemiology (broad)0.0040.002
Bibliometrics0.0020.002
Science and technology studies0.0020.001
Scholarly communication0.0020.004
Open science0.0030.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0100.024

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 head0.048
GPT teacher head0.230
Teacher spread0.182 · 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