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Record W4233837019 · doi:10.5089/9781513568577.002

Republic of Poland

2021· article· en· W4233837019 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

VenueIMF Staff Country Reports · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicPost-Communist Economic and Political Transition
Canadian institutionsnot available
FundersUniversity of Oxford
KeywordsRecessionQuarter (Canadian coin)Economic recoveryEconomic policyInvestment (military)PandemicEconomicsCoronavirus disease 2019 (COVID-19)UnemploymentSlow growthDevelopment economicsBusinessMarket economyEconomic growthPolitical scienceMacroeconomicsMedicineGeographyDisease

Abstract

fetched live from OpenAlex

After a long period of uninterrupted growth, Poland is experiencing a pandemic-induced recession, though strong policy actions have limited the damage. The economy rebounded strongly in the third quarter of 2020, but the second wave of the virus has delayed the recovery. A strong and effective policy response has supported economic activity and prevented destructive losses of employment and bankruptcies. Following the recession in 2020, Poland is well positioned for recovery. The pandemic will remain a constraint until the assumed administration of vaccines over the course of 2021. Resiliency in the corporate sector and labor markets, aided by strong policy support, should foster a strong rebound. Sizeable new EU grants would also facilitate an increase in investment and boost growth. The course of the pandemic and ultimate success of vaccines remains a fundamental risk.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.946
Threshold uncertainty score0.922

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.020
GPT teacher head0.299
Teacher spread0.279 · 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