MétaCan
Menu
Back to cohort
Record W2328193235 · doi:10.5618/arch.2012.v1.n2.8

Architectural Transformations of Residential Buildings in Rural Areas of the Lublin Region

2012· article· en· W2328193235 on OpenAlexvenueno aff
Jerzy Bański, Monika Wesołowska

Bibliographic record

VenueArchitectoni ca · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicUrbanization and City Planning
Canadian institutionsnot available
Fundersnot available
KeywordsArchitectural engineeringGeographyEnvironmental planningCivil engineeringEngineering

Abstract

fetched live from OpenAlex

The goal of this paper is to identify the basic changes in the architecture of residential buildings in the post-war period in one of the rural voivodeships (regions) of Poland.The authors aim to point out the reasons underlying the formation of new architectural models in rural areas and attempt to evaluate their impact on the transformation of the traditional landscape of the country.The study encompassed 15 villages located in different parts of the Lublin Voivodeship.The oldest houses, erected before the Second World War, were defined by their simplicity and paucity of decorative detail.Buildings were usually small, planked with wood and with a gabled roof.The use of natural building materials gave these buildings the feel of aesthetically blending into the rural landscape.Following the Second World War, a major change in quality took place in rural construction.Wood was replaced by rock-based building material.One-storey houses with gable roofs were predominant.Building models and patterns remained mostly unchanged with respect to traditional historical archetypes.From the 1960s to the 1980s, country building fell under the influence of urban standards.The proliferation of these architectural forms was spurred and reinforced by increasingly strong connections between the country and the city, mainly due to the rural population taking up work in the city.The last decade of the 20 th century saw a significant improvement in the quality of building materials and the aesthetic value of the buildings themselves.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
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 head0.016
GPT teacher head0.270
Teacher spread0.254 · 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 designObservational
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

Citations6
Published2012
Admission routes1
Has abstractyes

Explore more

Same venueArchitectoni caSame topicUrbanization and City PlanningFrench-language works237,207