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This paper discusses the history of the nouns gleðimaður, which is known from Old as well as Modern icelandic, and gleðikona which first occurs in an 18th-century source. Other nominal compounds for men and women that have gleði- as their first member are also introduced. The meaning of these words is compared, as is their usage, in order to test the claim that the words for men normally have a neutral meaning ('cheerful man, party animal') but the words for women have a pejorative meaning ('hussy, prostitute'). The nature of the changes in the history of the gleði-compounds is also discussed, e.g., to what extent borrowing from a foreign language has taken place. Lars-Gunnar Andersson's categorization of the so-called "ugliness" of words is used for a more detailed definition of the semantic changes. Finally, we touch on the wish to reclaim the word gleðikona that has been observed in the last decades, i.e., to revive the practically forgotten meaning 'cheerful woman, female party animal'.

Icelandic politics are analysed from the perspectives of three normative models of democracy: the liberal, republican and deliberative democratic theories. While the Icelandic constitution is rooted in classical liberal ideas, Icelandic politics can be harshly criticized from a liberal perspective, primarily because of the unclear separation of powers of government and for the extensive involvement of politics in other social sectors. Despite strong nationalist discourse which reflects republican characteristics, rooted in the struggle for independence from Denmark, republicanism has been marginal in Icelandic politics. In the years before the financial collapse, Icelandic society underwent a process of liberalization in which power shifted to the financial sector without disentangling the close ties that had prevailed between business and politics. The special commission set up by the Icelandic Parliament to investigate the causes of the financial collapse criticized Icelandic politics and governance for its flawed working practices and lack of professionalism. The appropriate lessons to draw from this criticism are to strengthen democratic practices and institutions. In the spirit of republicanism, however, the dominant discourse about Icelandic democracy after the financial collapse has been on increasing direct, vote-centric participation in opposition to the system of formal politics. While this development is understandable in light of the loss of trust in political institutions in the wake of the financial collapse, it has not contributed to trustworthy practices. In order to improve Icelandic politics, the analysis in this paper shows, it is important to work more in the spirit of deliberative democratic theory ; Peer Reviewed

The Icelandic-English parallel corpus MaCoCu-is-en 1.0 was built by crawling the ".is" internet top-level domain in 2021, extending the crawl dynamically to other domains as well. All the crawling process was carried out by the MaCoCu crawler (https://github.com/macocu/MaCoCu-crawler). Websites containing documents in both target languages were identified and processed using the tool Bitextor (https://github.com/bitextor/bitextor). Considerable efforts were devoted into cleaning the extracted text to provide a high-quality parallel corpus. This was achieved by removing boilerplate and near-duplicated paragraphs and documents that are not in one of the targeted languages. Document and segment alignment as implemented in Bitextor were carried out, and BicleanerAI (https://github.com/bitextor/bicleaner-ai) and Bifixer (https://github.com/bitextor/bifixer) were used for fixing, cleaning, and deduplicating the final version of the corpus. While the TXT format consists solely of pairs of source and target segments (one or several sentences), each segment pair in the TMX format is accompanied by the following metadata: - source and target document URL; - quality score as provided by the tool BicleanerAI; - translation direction identification: the source segment in each segment pair was identified by using a probabilistic model; - personal information identification ("biroamer-entities"): segments containing personal information are flagged, so final users of the corpus can decide whether to use these segments; - language variants: the language variant of English (British or American) was identified for every segment pair on document and domain level. Notice and take down: Should you consider that our data contains material that is owned by you and should therefore not be reproduced here, please: (1) Clearly identify yourself, with detailed contact data such as an address, telephone number or email address at which you can be contacted. (2) Clearly identify the copyrighted work claimed to be infringed. (3) Clearly identify the material that is claimed to be infringing and information reasonably sufficient in order to allow us to locate the material. (4) Please write to the contact person for this resource whose email is available in the full item record. We will comply with legitimate requests by removing the affected sources from the next release of the corpus. This action has received funding from the European Union's Connecting Europe Facility 2014-2020 - CEF Telecom, under Grant Agreement No. INEA/CEF/ICT/A2020/2278341. This communication reflects only the author's view. The Agency is not responsible for any use that may be made of the information it contains.