Replication Data for: "Unveiling community-based identities: Exploring rural-urban consciousness and stereotypes"

DOI

This repository contains five datasets used in the analysis of parliamentary speech and scientific claims. Below is a description of each file and its role in the research pipeline:

DB_Polgeo_Degurba.csv This is the main dataset compiled for the study. It includes the full set of observations and variables used in the primary analyses.

DB_Polgeo_Degurba_coded.csv This dataset includes initial labels generated through embbedings classification.

DF_Train_2.csv and DF_Test_2.csv These files correspond to training and test datasets automatically generated using Mixtral. They serve as a synthetic gold standard for model validation.

Additional Information: Please note that the scripts and code used to process and analyze these data are still under revision and preparation for easy replication. They will be uploaded as soon as the replication pipeline is finalized and verified. This note will be updated once the full code is available to ensure reproducibility. Now, they can be accessed upon request in (https://github.com/PSUBRodilla/RepMat_-Stereotypes)

Identifier
DOI https://doi.org/10.34810/data2434
Metadata Access https://dataverse.csuc.cat/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.34810/data2434
Provenance
Creator Rodilla Lázaro, Andreu ORCID logo; Breitenstein, Sofia ORCID logo; Rodon, Toni ORCID logo; Riambau-Armet, Guillem ORCID logo
Publisher CORA.Repositori de Dades de Recerca
Contributor Rodilla Lázaro, Andreu; Universitat de Barcelona
Publication Year 2025
Rights CC0 1.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/publicdomain/zero/1.0
OpenAccess true
Contact Rodilla Lázaro, Andreu (Universitat de Barcelona)
Representation
Resource Type Survey data; Dataset
Format text/tab-separated-values; text/plain
Size 1630; 458388; 352068; 26746; 78336; 3645
Version 1.0
Discipline Agriculture, Forestry, Horticulture, Aquaculture; Agriculture, Forestry, Horticulture, Aquaculture and Veterinary Medicine; Geography; Geosciences; Geospheric Sciences; Life Sciences; Natural Sciences; Political Science; Social Sciences; Social and Behavioural Sciences; Soil Sciences