ParlaMint is a multilingual set of comparable corpora containing parliamentary debates mostly starting in 2015 and extending to mid-2020, with each corpus being about 20 million words in size. The sessions in the corpora are marked as belonging to the COVID-19 period (after October 2019), or being "reference" (before that date). The corpora have extensive metadata, including aspects of the parliament; the speakers (name, gender, MP status, party affiliation, party coalition/opposition); are structured into time-stamped terms, sessions and meetings; with speeches being marked by the speaker and their role (e.g. chair, regular speaker). The speeches also contain marked-up transcriber comments, such as gaps in the transcription, interruptions, applause, etc. Note that some corpora have further information, e.g. the year of birth of the speakers, links to their Wikipedia articles, their membership in various committees, etc. The corpora are encoded according to the Parla-CLARIN TEI recommendation (https://clarin-eric.github.io/parla-clarin/), but have been validated against the compatible, but much stricter ParlaMint schemas. This entry contains the ParlaMint TEI-encoded corpora with the derived plain text version of the corpus along with TSV metadata on the speeches. Also included is the 2.0 release of the data and scripts available at the GitHub repository of the ParlaMint project. Note that there also exists the linguistically marked-up version of the corpus, which is available at http://hdl.handle.net/11356/1405.
ParlaMint 2.1 is a multilingual set of 17 comparable corpora containing parliamentary debates mostly starting in 2015 and extending to mid-2020, with each corpus being about 20 million words in size. The sessions in the corpora are marked as belonging to the COVID-19 period (after November 1st 2019), or being "reference" (before that date). The corpora have extensive metadata, including aspects of the parliament; the speakers (name, gender, MP status, party affiliation, party coalition/opposition); are structured into time-stamped terms, sessions and meetings; with speeches being marked by the speaker and their role (e.g. chair, regular speaker). The speeches also contain marked-up transcriber comments, such as gaps in the transcription, interruptions, applause, etc. Note that some corpora have further information, e.g. the year of birth of the speakers, links to their Wikipedia articles, their membership in various committees, etc. The corpora are encoded according to the Parla-CLARIN TEI recommendation (https://clarin-eric.github.io/parla-clarin/), but have been validated against the compatible, but much stricter ParlaMint schemas. This entry contains the ParlaMint TEI-encoded corpora with the derived plain text version of the corpus along with TSV metadata on the speeches. Also included is the 2.0 release of the data and scripts available at the GitHub repository of the ParlaMint project. Note that there also exists the linguistically marked-up version of the corpus, which is available at http://hdl.handle.net/11356/1431.
ParlaMint is a multilingual set of comparable corpora containing parliamentary debates mostly starting in 2015 and extending to mid-2020, with each corpus being about 20 million words in size. The sessions in the corpora are marked as belonging to the COVID-19 period (after October 2019), or being "reference" (before that date). The corpora have extensive metadata, including aspects of the parliament; the speakers (name, gender, MP status, party affiliation, party coalition/opposition); are structured into time-stamped terms, sessions and meetings; with speeches being marked by the speaker and their role (e.g. chair, regular speaker). The speeches also contain marked-up transcriber comments, such as gaps in the transcription, interruptions, applause, etc. Note that some corpora have further information, e.g. the year of birth of the speakers, links to their Wikipedia articles, their membership in various committees, etc. The corpora are encoded according to the Parla-CLARIN TEI recommendation (https://clarin-eric.github.io/parla-clarin/), but have been validated against the compatible, but much stricter ParlaMint schemas. This entry contains the linguistically marked-up version of the corpus, while the text version is available at http://hdl.handle.net/11356/1388. The ParlaMint.ana linguistic annotation includes tokenization, sentence segmentation, lemmatisation, Universal Dependencies part-of-speech, morphological features, and syntactic dependencies, and the 4-class CoNLL-2003 named entities. Some corpora also have further linguistic annotations, such as PoS tagging or named entities according to language-specific schemes, with their corpus TEI headers giving further details on the annotation vocabularies and tools. The compressed files include the ParlaMint.ana XML TEI-encoded linguistically annotated corpus; the derived corpus in CoNLL-U with TSV speech metadata; and the vertical files (with registry file), suitable for use with CQP-based concordancers, such as CWB, noSketch Engine or KonText. Also included is the 2.0 release of the data and scripts available at the GitHub repository of the ParlaMint project.
Bakgrunn: Tillit som en del av sosial kapital er et viktig fundament for et helsefremmende og velfungerende samfunn. Til tross for at det i Norge generelt er høye nivåer av tillit og relativt små sosiale ulikheter i befolkningen, er det tidligere funnet forskjeller mellom ulike sosioøkonomiske grupper i grad av tillit. Det er derfor behov for mer kunnskap om nivået av tillit hos befolkningen, og hvordan tilliten fordeler seg. Formål: Å undersøke både grad av tillit til institusjoner (vertikal tillit) og generell tillit (horisontal tillit) i et utvalg av befolkningen i Østfold. Videre var et mål å undersøke om demografiske og sosioøkonomiske faktorer var assosiert med grad av tillit. Metode: Det ble benyttet data fra tverrsnittstudien "Oss i Øsfold 2019" utført av Østfold fylkeskommune, med et representativt utvalg (n=16 558) av befolkningen i Østfold i alderen 18-79 år. Assosiasjonen mellom de sosiodemografiske variablene kjønn, alder, utdanning og opplevd økonomisk situasjon, og grad av tillit, ble undersøkt ved hjelp av logistiske regresjonsanalyser. Institusjonene som ble undersøkt var helsevesenet, skolevesenet, NAV, kommunestyret, politiet, rettsvesenet og massemedia. Forskjeller mellom gruppene ble oppgitt ved odds ratio (OR). Resultater: For utvalget som helhet var helsevesenet den institusjonen flest hadde høy tillit til (83.0 %), mens færrest hadde høy tillit til massemedia (42.9 %). Det var 65.9 % av utvalget som oppga at de generelt hadde høy tillit til andre mennesker. Funnene viste at det var klare sosiodemografiske forskjeller i grad av tillit. Kvinner hadde høyere tillit til institusjoner og høyere generell tillit enn menn. Den generelle tilliten økte med alderen. Funnene viste også at utdanningsnivå og opplevd økonomisk situasjon var positivt assosiert med grad av både institusjonell- og generell tillit. Konklusjon: Det ble funnet en klar sosial gradient i forekomst av både vertikal og horisontal tillit. Dette er viktig å ta på alvor, da økende grad av mistillit kan føre til en utvikling som undergraver demokratiske verdier, og svekker den generelle viljen i samfunnet til å slutte opp om kollektive velferdsordninger. I Østfold kan det være behov for å ha et bevisst forhold til tillitsbyggende arbeid, for å generere sosial kapital som en viktig ressurs i samfunnet. Det bør fokuseres på strategier som sikrer høy sysselsetting, rettferdig inntektsfordeling og gode velferdsordninger. I tillegg, kan det være behov for målrettede tiltak mot grupper med lav sosioøkonomisk posisjon. ; Background: Trust as a part of social capital is an important foundation for a healthpromoting and well-functioning society. Even though there are generally high levels of trust in Norway and relatively small social inequalities in the population, differences between socio-economic groups in levels of trust have been found in previous research. There is therefore a need for more knowledge about the levels of trust among the population, and how trust is distributed. Aim: To study the levels of trust in public institutions (vertical trust) and general trust (horizontal trust) within a representative sample of the population in Østfold aged 18-79 years. Furthermore, examine whether demographic (gender and age) and socioeconomic (education level and economic situation) factors are associated with levels of trust. Method: Data from the cross-sectional study "Oss i Østfold 2019", conducted by the county municipality Østfold was used, with a representative sample (n=16 558) of the population of Østfold. Logistic regression analyses were used to examine whether the sociodemographic variables gender, age, education and perceived economic self-sufficiency were associated with levels of trust. The institutions examined were the healthcare system, the school system, NAV (Social Security office), the municipal council, the police, the legal system and the media. Differences between the groups were measured using odds ratio (OR). Results: Overall, the majority in the sample had high levels of trust in the healthcare system (83.0 %). Fewest in the analysed sample had high levels of trust in the media (42.9 %). 65.9 % of the sample reported high levels of general trust in other people. The findings showed significant sociodemographic factors in terms of trust. The women in the study had higher institutional and general trust, than the male participants. Horizontal trust increased with the age. Education level and perceived economic self-sufficiency were positively associated with the degree of both institutional trust and general trust. Conclusion: A clear social gradient was found in the incidence of both vertical and horizontal trust. It is important to take this seriously, as an increase of distrust can lead to a development that undermines democratic values and reduces the general will in society to support collective welfare schemes. In Østfold there may be a need for a conscious approach to trustbuilding work, in order to generate social capital as an important resource in society. Strategies that focus on high employment, economic equality and good welfare schemes should be in focus. In addition, these findings may imply that targeted measures to build trust in low socio-economic groups are needed. ; M-FOL
ParlaMint 2.1 is a multilingual set of 17 comparable corpora containing parliamentary debates mostly starting in 2015 and extending to mid-2020, with each corpus being about 20 million words in size. The sessions in the corpora are marked as belonging to the COVID-19 period (from November 1st 2019), or being "reference" (before that date). The corpora have extensive metadata, including aspects of the parliament; the speakers (name, gender, MP status, party affiliation, party coalition/opposition); are structured into time-stamped terms, sessions and meetings; with speeches being marked by the speaker and their role (e.g. chair, regular speaker). The speeches also contain marked-up transcriber comments, such as gaps in the transcription, interruptions, applause, etc. Note that some corpora have further information, e.g. the year of birth of the speakers, links to their Wikipedia articles, their membership in various committees, etc. The corpora are encoded according to the Parla-CLARIN TEI recommendation (https://clarin-eric.github.io/parla-clarin/), but have been validated against the compatible, but much stricter ParlaMint schemas. This entry contains the linguistically marked-up version of the corpus, while the text version is available at http://hdl.handle.net/11356/1432. The ParlaMint.ana linguistic annotation includes tokenization, sentence segmentation, lemmatisation, Universal Dependencies part-of-speech, morphological features, and syntactic dependencies, and the 4-class CoNLL-2003 named entities. Some corpora also have further linguistic annotations, such as PoS tagging or named entities according to language-specific schemes, with their corpus TEI headers giving further details on the annotation vocabularies and tools. The compressed files include the ParlaMint.ana XML TEI-encoded linguistically annotated corpus; the derived corpus in CoNLL-U with TSV speech metadata; and the vertical files (with registry file), suitable for use with CQP-based concordancers, such as CWB, noSketch Engine or KonText. Also included is the 2.1 release of the data and scripts available at the GitHub repository of the ParlaMint project. As opposed to the previous version 2.0, this version corrects some errors in various corpora and adds the information on upper / lower house for bicameral parliaments. The vertical files have also been changed to make them easier to use in the concordancers.
