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Record W4226320613 · doi:10.5604/01.3001.0015.8319

ESTIMATES OF SOCIAL MINIMUM BASKETS FOR THE THIRD QUARTER OF 2021

2022· article· en· W4226320613 on OpenAlex
Piotr Kurowski

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

VenuePolityka Społeczna · 2022
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicCOVID-19 Pandemic Impacts
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)Demographic economicsEconomicsConsumption (sociology)UnemploymentValuation (finance)Falling (accident)Value (mathematics)Social securityDemographyCoronavirus disease 2019 (COVID-19)SocioeconomicsGeographyEconomic growthSociologyMathematicsStatisticsMedicineEnvironmental health

Abstract

fetched live from OpenAlex

This article presents estimates of the social minimum for conditions in the third quarter of 2021. They take into account the extent and pattern of need satisfaction under typical conditions. Due to the lack of data on changes in household consumption in 2021, the unusual conditions of Covid-19 have not yet been taken into account. When they appear and if there is a need to change the model assumptions, the value of the social minimum for this period can be estimated again. External conditions for households in the period under review were reasonably favourable (falling unemployment rate to 5.6%, decreasing number of registered unemployed). The increase in consumer prices amounted to 1%. The value of the social minimum increased modestly: by 0.6% in households without children, by 0.8% among households of pensioners, by 1.1% in a family with an older child (from 13 to 15 years of age). This insignificant increase was due to the lower valuation of food (a decrease from 0.4% to 0.5% depending on the type of household). Expenditure on housing and energy – the second important category in the model – increased from 0.8% in one-person households to 1% in four- and five-person families

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.416
Threshold uncertainty score1.000

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 head0.046
GPT teacher head0.283
Teacher spread0.237 · 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