Part of
Corpus-based Research in Applied Linguistics: Studies in Honor of Doug BiberEdited by Viviana Cortes and Eniko Csomay
[Studies in Corpus Linguistics 66] 2015
► pp. 79–98
Edited by Viviana Cortes and Eniko Csomay
[Studies in Corpus Linguistics 66] 2015
► pp. 79–98
Telling by omission
Hedging and negative evaluation in academic recommendation letters
This corpus-based study explores some of the linguistic and discursive aspects of framing positive and negative information – mainly modals, evaluative adjectives, and mitigation strategies – in recommendation letters. The corpus is comprised of 114 letters of recommendation spanning three years of applications to an English Ph.D. program, approximately 46,000 words. The results reveal consistent patterns in the way different types of modals and their associated collocates are used to hedge predictions, and the analysis identifies the discursive frames of the most common mitigation strategies in presenting potentially negative information about applicants. The study illustrates the need to combine both corpus-based quantitative and qualitative methods for a more robust and fine-grained analysis of evaluative language in this occluded genre. Keywords: Recommendation letters; evaluative language; modals; negative presentation; mitigation strategies; occluded genres
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Cited by (2)
Cited by two other publications
Rachul, Christen, Benjamin Collins, Nancy Porhownik & William Fleisher
2024. Reading between the lines: exploring the unwritten rules of letters of recommendation in the Canadian resident selection process. Canadian Medical Education Journal 
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2021. Evidence on the Dimensionality and Reliability of Professional References’ Ratings of Teacher Applicants. Economics of Education Review 83 ► pp. 102130 ff.
This list is based on CrossRef data as of 27 july 2024. Please note that it may not be complete. Sources presented here have been supplied by the respective publishers. Any errors therein should be reported to them.