Self-mention in the academic discourse of ELF writers

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17250%2F21%3AA2202CO1" target="_blank" >RIV/61988987:17250/21:A2202CO1 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.sciendo.com/article/10.2478/topling-2021-0009" target="_blank" >https://www.sciendo.com/article/10.2478/topling-2021-0009</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.2478/topling-2021-0009" target="_blank" >10.2478/topling-2021-0009</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Self-mention in the academic discourse of ELF writers

Popis výsledku v původním jazyce

English has firmly established itself as a lingua franca in the international environment and in no environment is this more true than in the academic one. Self-mention, especially in academic settings, has been studied extensively; however, not so in written ELF (English as a Lingua Franca) academic discourse, as the prevailing focus of ELF studies has been on the spoken form. In this corpus-based study, I choose Walková’s (2019) three-dimensional model of self-mention and apply it in the self-mention analysis in the SSH category of the SciELF corpus, a corpus of unpublished research articles written by ELF users. The results are compared with the reference corpus CSSH compiled to be comparable to the SSH corpus in terms of discipline. Features related to self-reference are chosen to represent each dimension. The results are tested for statistical significance using the Log-likelihood test. Some data proved to be of greater statistical significance (the use of personal pronouns) while other data did not carry any (the use of boosters).

Název v anglickém jazyce

Self-mention in the academic discourse of ELF writers

Popis výsledku anglicky

English has firmly established itself as a lingua franca in the international environment and in no environment is this more true than in the academic one. Self-mention, especially in academic settings, has been studied extensively; however, not so in written ELF (English as a Lingua Franca) academic discourse, as the prevailing focus of ELF studies has been on the spoken form. In this corpus-based study, I choose Walková’s (2019) three-dimensional model of self-mention and apply it in the self-mention analysis in the SSH category of the SciELF corpus, a corpus of unpublished research articles written by ELF users. The results are compared with the reference corpus CSSH compiled to be comparable to the SSH corpus in terms of discipline. Features related to self-reference are chosen to represent each dimension. The results are tested for statistical significance using the Log-likelihood test. Some data proved to be of greater statistical significance (the use of personal pronouns) while other data did not carry any (the use of boosters).

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

60203 - Linguistics

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2021

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Topics in Linguistics

ISSN

1337-7590

e-ISSN

2199-6504

Svazek periodika

22

Číslo periodika v rámci svazku

2

Stát vydavatele periodika

SK - Slovenská republika

Počet stran výsledku

15

Strana od-do

32-46

Kód UT WoS článku

000736162200003

EID výsledku v databázi Scopus

2-s2.0-85122886984