MétaCan
Menu
Back to cohort
Record W2897308200 · doi:10.18290/rns.2018.46.4-3

Koncepcja les espaces sociaux localisés w badaniach struktury społecznej wsi

2018· article· pl· W2897308200 on OpenAlexaboutno aff
Maria Halamska

Bibliographic record

VenueRoczniki Nauk Społecznych · 2018
Typearticle
Languagepl
FieldSocial Sciences
TopicAgricultural economics and policies
Canadian institutionsnot available
Fundersnot available
KeywordsIntelligentsiaContext (archaeology)SociologyQuarter (Canadian coin)Subject (documents)Social classRural areaSocial scienceGeographySocioeconomicsPolitical scienceLibrary scienceArchaeology

Abstract

fetched live from OpenAlex

Research on social structure of rural areas in Poland have been carried for over one hundred years. Nowadays it is carried according to the methods of general sociology and shows the full diversity of professions of people living in the countryside. More than the half of them are workers, whereas farmers and representatives of a new middle class account each for about a quarter. These ratios are, however, not the same in different regions and have their influence on the character of the social milieu of individuals, the so-called context effect. If the influence of the latter is to be observed, various milieus (contexts) have to be defined and localised. Testing the possibility of such an operation using the idea of les espaces sociaux localisés by Gilles Laferté is the subject of the paper. Four types of rural social structure are distinguished: agricultural, workers’, intelligentsia-workers, and mixed; they are characterised and localised spatially. Conducted empirical research is the basis of showing the influence of the social context on behaviour and self-appraisal.

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 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 categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.420
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0040.003
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.004

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 head0.039
GPT teacher head0.323
Teacher spread0.284 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

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

Citations1
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueRoczniki Nauk SpołecznychSame topicAgricultural economics and policiesFrench-language works237,207