Co-authorship and productivity: insights from Parish et al. (2018)

The following is a selection of quotes from the following paper:

Parish AJ, Boyack KW, Ioannidis JPA (2018) Dynamics of co-authorship and productivity across different fields of scientific research. PLoS ONE 13(1): e0189742. https://doi.org/10.1371/journal.pone.0189742

You can find here something I wrote co-authorship in the area of applied linguistics where I call for a re-evaluation of collaboration in this area.

Collaboration is now seen as essential to progress in scientific research, and over the past several decades large-scale collaborative projects have become increasingly frequent in fields as diverse as medicine, genetics, and high-energy physics. Although these large collaborations have received more media attention, collaboration on a smaller scale is also important for scientific productivity.

The average number of co-authors per paper published by individual scientists has steadily increased in all fields over the past century. The possible effect of collaboration on improving scientific efficiency and productivity is particularly appealing.

Increased collaboration has long been found to be associated with increased scientific productivity using individual researchers as the unit of study. Collaboration is also frequently mentioned as an important factor in scientists’ own reflections on their success.

A researcher’s productivity may also shape their future role in networks of co-authors, with greater scientific success and exposure allowing the researcher more opportunities to collaborate.

Highly collaborative authors also seem to cite more recently published articles and to re-cite (citing the same references in multiple papers) less frequently, and thus may dwell closer to and push the frontiers of research. International collaboration in particular seems to be strongly related to productivity, as measured by total publications.

Different scientific fields to possess distinguishing network characteristics, including average number of collaborators per author.

In one study of 36,211 Italian scientists, Abramo et al found that across scientific fields women have a slightly higher tendency to engage in collaboration, as measured by the fraction of publications resulting from collaboration.

Within biology, earth sciences, and social sciences, there is not a significant relationship between R and h-index in 2015. Additionally, the association is strongest for physicists. This particularly strong association makes sense given the growing number of large, high impact, intensely collaborative projects in experimental physics.

Corpus linguistics & vocabulary learning

 

clandvocab

Recently, one of my students asked for some pointers in corpus linguistics and vocabulary learning. Here´s my top 5 impromptu list.

Sinclair, J. (2003). Reading concordances. An introduction. Harlow: Longman.

This is a great resource to fully understand the implications of using concordances to derive (linguistic) meaning.

Leńko-Szymańska, A. (2015). The English Vocabulary Profile as a benchmark for assigning levels to learner corpus data. Learner corpora in language testing and assessment, 115-140.

Interesting research that discusses the use of Cambridge Vocabulary Profile to sort ICCI learners into levels.

Schmitt, N., Cobb, T., Horst, M., & Schmitt, D. (2017). How much vocabulary is needed to use English? Replication of Van Zeeland & Schmitt (2012), Nation, (2006), and Cobb (2007). Language Teaching, 50(2), 212–226.

Excellent paper that makes use of corpus linguistics research methods to assess how much vocabulary do learners need to use English.

Schmitt, N. (2014). Size and depth of vocabulary knowledge: What the research shows. Language Learning, 64, 4, 913–951.

Great paper that discusses the many sides of vocabulary knowledge. Great if you need a start for vocabulary research in language education.

Jones, M. & Durran, P. (2010) What can a corpus tell us about vocabulary teaching materials? The Routledge handbook of corpus linguistics.

Hopefully, this chapter will help you bridge the gap between corpora as resources and language teaching. Very practical stuff. By the way, the whole Routledge Handbook of corpus linguistics is a superb resource.

 

 

 

 

 

 

 

Scott Thornbury´s webinar on case studies in SLA 17th Oct 2017

Message distributed by Anne O´Keeffe

If you, your students or your colleagues fancy listening in to a webinar by Scott Thornbury tomorrow, as part of our MA in Applied Linguistics programme, please feel free to log in and also feel free to pass this on.

Title: The SLA Hall of Fame – Case Studies in SLA
Speaker: Scott Thornbury
Date: Tuesday 17th Oct 2017
Time: 13.00 – 14:00 (Irish Standard Time)

Webinar link http://mic.adobeconnect.com/sla/ Log in as Guest by just typing you name.

#CFP Language Technology for Digital Humanities: Language Resources and Evaluation Journal

From the Corpora List

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CALL FOR PAPERS
We invite submissions of papers to a special issue of the journal ”Language Resources and Evaluation”. The special issue will focus on the use of language technology for digital humanities and will have the title: Language Technology for Digital Humanities.
MOTIVATION:
The use of digital resources and tools across humanities disciplines has steadily increased, giving rise to new research paradigms and associated methods that are commonly subsumed under the term ”digital humanities”. Digital humanities does not constitute a new discipline in itself, but rather a new approach to humanities research that cuts across different existing humanities disciplines. While digital humanities extends well beyond language-based research, textual resources and spoken language materials play a central role in most humanities disciplines. Applying LT tools and data for digital humanities research implies new perspectives on these resources regarding domain adaptation, interoperability, technical requirements, documentation, and usability of user interfaces.
TOPICS:
We invite original contributions on completed work, not published before and not under consideration for publication elsewhere. Specific topics include, but are not limited to:
* Case studies of using language technology and/or language resources with the goal of finding new answers to existing research questions in a particular humanities discipline or addressing entirely new research questions
* Case studies of expanding the functionality of existing language processing tools in order to be able to address research questions in digital humanities
* The design of new language processing tools as well as annotation tools for spoken and written language, showcasing their use in digital humanities research
* Domain adaption of rule-based, statistical, or machine-learning models for language processing tools in digital humanities research
* Challenges posed for language processing tools when used on diachronic data, language variation data, or literary texts
* Showcasing the use of language processing tools in humanities disciplines such as anthropology, gender studies, history, literary studies, philosophy, political science, and theology
SUBMISSION:
Accepted papers will have a length of 20-30 pages, excluding references.
Authors are advised to use the online manuscript submission for the journal. Make sure to select the special issue when asked to provide the article type. More information, including formatting instructions for authors can be found on the journal’s webpage at:  http://www.springer.com/education+%26+language/linguistics/journal/10579#
Authors are requested to send a brief email to the guest editors (LTforDH@gmail.com) indicating their intention to participate as soon as possible, including their contact information and the topic they intend to address in their submission. Questions regarding the special issue should be sent to the same address.
IMPORTANT DATES:
* Submission deadline: 31 October 2017
* Author notification of acceptance: 15 January 2018
GUEST EDITORS:
Erhard Hinrichs, University of Tübingen
Marie Hinrichs, University of Tübingen
Sandra Kübler, Indiana University
Thorsten Trippel, University of Tübingen

#CFP Symposium on Learning Analytics in Language Learning & Teaching

From the EUROCALL mail-list

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Symposium on Learning Analytics in Language Learning and Teaching – Call for Papers

Arising from participation in the EU-funded VITAL project (http://project-vital.eu/) the University of Central Lancashire is hosting a one-day symposium on Learning Analytics in Language Learning and Teaching on 17th July 2017 in Preston. The keynote speakers include Professor Jozef Colpaert (University of Antwerp, Belgium) and Professor Bart Rienties (Open University, UK)

 Abstract submission guidelines

Abstracts should be no longer than 300 words and submitted as a word attachment to the conference email address (mthomas4@uclan.ac.uk). The submission email should contain the participant’s name, affiliation and biography (50 to 100 words). The deadline is 22nd May April 2017. All submissions will be blind peer-reviewed. Accepted abstracts will be allotted 20 minutes for presentations.

Further information on the symposium is available here:

https://www.eventbrite.co.uk/e/learning-analytics-in-language-learning-and-teaching-tickets-33850975178

 

Key dates

Abstract submission: 22nd May 2017

Notification to presenters: 5th June 2017

Conference: 17th July 2017

Publication guidelines

Presenters will also be invited to submit their papers for publication in a special edition of the peer-reviewed Journal of Second Language Teaching and Research.

Conference Address

Scholars Suite, School of Language and Global Studies, University of Central Lancashire, Preston, PR1 2HE.

 Participant Registration

Please register as a conference participant by following the link below. This event is free and light refreshments will be provided:

https://www.eventbrite.co.uk/e/learning-analytics-in-language-learning-and-teaching-tickets-33850975178 

The VITAL project has been funded with support from the European Commission (Project number: 2015-BE02-KA203-012317).