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Record W3208541277 · doi:10.5604/01.3001.0015.4547

ESTIMATES OF SOCIAL MINIMUM BASKETS FOR THE SECOND QUARTER OF 2021

2021· article· en· W3208541277 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 · 2021
Typearticle
Languageen
FieldEnvironmental Science
TopicSocioeconomic and Demographic Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)Falling (accident)Consumption (sociology)EconomicsUnemploymentValue (mathematics)Demographic economicsSocial securityEconomic growthSociologyGeographyPsychologyStatisticsMarket economyMathematics

Abstract

fetched live from OpenAlex

The article presents values of social minimum baskets estimated for conditions prevailing in the second quarter of 2021. The presented estimates take into account the needs as foreseen in the model under normal conditions of social life – new circumstances (Covid-19) have not been considered. There is a lack of research on changes in household consumption in 2021. If there will be a need to change assumptions in the model, the values of social minimum can be recalculated in the future. External conditions for households in the second quarter of 2021 were reasonably favourable (including a falling unemployment rate to 5.9% in June). In the period under review, total consumer price growth was 1.9%. The values of the social minimum have increased from 2.3% (a single person of retirement age) to 3.2% (a family with a child aged 13 to 15). The major factor in the increasing values of the social minimum was rising food prices (from 5.8% for parents with a younger child to 6.1% for a family with an older child). This increase was almost three times higher than the price growth rate for food (2.2%). On the other hand, the dynamics of the costs of housing and energy carriers was comparable to the value of the CPI for this group.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.053
Threshold uncertainty score0.985

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0160.000

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 head0.009
GPT teacher head0.244
Teacher spread0.235 · 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