Martí-Franquès COFUND Fellowship Programme


Details

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Reference:

2020MFP-COFUND-19

Area:

Arts and Humanities

Supervisor name and surname:

Evelina Leivada

Supervisor email:

evelina.leivada@urv.cat

Supervisor short biography

Co-supervisor name and surname:

Isabel Oltra-Massuet

Co-supervisor email:

isabel.oltra@urv.cat

Co-supervisor institution:

URV

Co-supervisor short biography

PhD programme:

Cognitive Science and Language

Title of the research project:

Grammar, grammaticality and acceptability

Description of the research project:

The aim of this project is to investigate the notions of acceptability and grammaticality through running various types of acceptability judgment tasks.

Acceptability judgments are a reliable tool in linguistic research that can provide valuable insights into grammar, eventually giving rise to what has been called the evidential base of linguistics. Although acceptability judgments are robust and reliable indicators of one`s perception of her/his linguistic repertoire, human cognition is fallible to processing biases and heuristics of various types. The ways these biases impact acceptability judgments are still to be determined.

This project will address this question through administering acceptability and other types of tasks in neurotypical populations. The project will deal with various grammatical representations, also taking into account the interests and competences of the selected fellow.

Emphasis will be given to ensuring a gender balance in the implementation of this project. The supervisors commit to promote gender equality in the research team that will host the fellow, both in terms of human resources, but also in terms of content. Moreover, gender will be included as one of the possible predictors/factors in the analysis of the results.
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Ethics: This project involves ethical aspects.

Workplace location: Campus Catalunya, Tarragona

Gross anual salary:

27103.20 €

Dedication:

Full time

Working hours:

37.5 hours a week

Expected start date:

15 March 2021

European union This project has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No. 945413