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Record W4360908676 · doi:10.33788/sr.20.2.11

Social Inequalities and Quality of Life. International Conference organised by the Research Institute for Quality of Life and the Romanian Sociological Association, 15-19 November 2021

2022· article· en· W4360908676 on OpenAlexaboutno aff
Corina Seserman

Bibliographic record

VenueSociologie Romaneasca · 2022
Typearticle
Languageen
FieldHealth Professions
TopicHealth, psychology, and well-being
Canadian institutionsnot available
Fundersnot available
KeywordsRomanianCzechInequalitySociological researchSocial inequalitySocial researchPolitical scienceQuality of life (healthcare)SociologySocial lifeEconomic growthSocial scienceMedicine

Abstract

fetched live from OpenAlex

The Social Inequalities and Quality of Life International Conference organised by The Research Institute for Quality of Life, Romanian Academy took place online, from 15 to 19 November 2021. The conference distributed 13 panels about current global challenges which impact individuals’ daily lives, and two round tables, about the challenges, risks and opportunities that Romanian society is facing. This event gathered 102 presentations from researchers coming from Romania, Belarus, Belgium, Bulgaria, Canada, Denmark, Israel, Italy, Norway, Poland, Serbia, Spain, The Czech Republic and The Netherlands. The conference provided an opportunity for interdisciplinary dialogue to take place about the potential policy strategies aimed to reduce social polarization and social inequalities by overcoming the structural gaps in contemporary society.

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)0.005
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.014
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0000.003
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0140.002

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 head0.435
GPT teacher head0.544
Teacher spread0.109 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2022
Admission routes1
Has abstractyes

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