Concessive constructions in varieties of English: Corpus data

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Schützler, Ole, 2021, "Concessive constructions in varieties of English: Corpus data", https://doi.org/10.18710/1JMFVR, DataverseNO, V1, UNF:6:k6AMMtco75+K1XeD1lppig== [fileUNF]

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Description	The data were used in a corpus-based study that investigates the variation of concessive constructions across nine varieties of English. Concessive constructions are here taken to consist of a subordinate clause linked to a matrix clause using one of the three subordinating conjunctions 'although', 'though' or 'even though'. For each occurrence, the data contain information concerning its semantic properties, the position of the subordinate clause, the conjunction that was used, the finite or nonfinite status of the subordinate clause as well as its length. Further, each token is annotated for variety, mode of production (spoken vs. written) and genre (or text type). It is also possible to model the text frequencies of conjunctions and semantic subtypes, since in the respective data tables counts are given for each text in the corpora, along with the total word count per text. (2021-01-20)
Subject	Arts and Humanities
Keyword	Corpus linguistics, Concessives, English, Subordinating conjunctions
Related Publication	Schützler, Ole. Monograph in preparation for publication. Concessive constructions in varieties of English.
License/Data Use Agreement	Custom Dataset Terms

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	1 to 5 of 5 Files	Original Format Archival Format (.tab)
	concessives_3.tab Tabular Data - 307.3 KB Published Feb 11, 2021 22 Downloads 1 Variables, 3502 Observations UNF:6:kjawSLGCejOa7fMyHONKmw== Data table for analysing the constructional variation of concessives (clause positions, selection of conjunction, finite vs. nonfinite clauses)	Preview "concessives_3.tab" Access File File Access Public Download Options Comma Separated Values (Original File Format) Tab-Delimited RData Download Metadata Variable Metadata Data File Citation EndNote XML RIS BibTeX
	concessives_2.tab Tabular Data - 979.0 KB Published Feb 11, 2021 19 Downloads 1 Variables, 19608 Observations UNF:6:cw5gFYBp4KI+JnbgjeuIxw== Data table for analysing the text frequencies of semantic subtypes of concessives	Preview "concessives_2.tab" Access File File Access Public Download Options Comma Separated Values (Original File Format) Tab-Delimited RData Download Metadata Variable Metadata Data File Citation EndNote XML RIS BibTeX
	00_ReadMe_ConcessiveConstructionsInVarietiesOfEnglish_CorpusData.txt Plain Text - 13.2 KB Published Feb 11, 2021 38 Downloads MD5: 34b89346ee1bf329ea24d1ba5de24adf	Preview "00_ReadMe_ConcessiveConstructionsInVarietiesOfEnglish_CorpusData.txt" Access File File Access Public Download Options Plain Text Download Metadata Data File Citation EndNote XML RIS BibTeX
	concessives_1.tab Tabular Data - 732.8 KB Published Feb 11, 2021 29 Downloads 1 Variables, 14706 Observations UNF:6:ZuBmhLdPzTzxnocilg5WGA== Data table for analysing the text frequencies of concessive subordinators	Preview "concessives_1.tab" Access File File Access Public Download Options Comma Separated Values (Original File Format) Tab-Delimited RData Download Metadata Variable Metadata Data File Citation EndNote XML RIS BibTeX
	Corpus_licences.pdf Adobe PDF - 302.6 KB Published Feb 11, 2021 17 Downloads MD5: 5f9e2eb7acb9e2a35888e0408adad7d4	Preview "Corpus_licences.pdf" Access File File Access Public Download Options Adobe PDF Download Metadata Data File Citation EndNote XML RIS BibTeX

Citation Metadata

Persistent Identifier	doi:10.18710/1JMFVR
Publication Date	2021-02-11
Title	Concessive constructions in varieties of English: Corpus data
Author	Schützler, Ole (University of Bamberg) - ORCID: 0000-0001-8868-0191
Point of Contact	Use email button above to contact. Schützler, Ole (University of Bamberg)
Description	The data were used in a corpus-based study that investigates the variation of concessive constructions across nine varieties of English. Concessive constructions are here taken to consist of a subordinate clause linked to a matrix clause using one of the three subordinating conjunctions 'although', 'though' or 'even though'. For each occurrence, the data contain information concerning its semantic properties, the position of the subordinate clause, the conjunction that was used, the finite or nonfinite status of the subordinate clause as well as its length. Further, each token is annotated for variety, mode of production (spoken vs. written) and genre (or text type). It is also possible to model the text frequencies of conjunctions and semantic subtypes, since in the respective data tables counts are given for each text in the corpora, along with the total word count per text. (2021-01-20)
Subject	Arts and Humanities
Keyword	Corpus linguistics Concessives English Subordinating conjunctions
Related Publication	Schützler, Ole. Monograph in preparation for publication. Concessive constructions in varieties of English. Schützler, Ole. 2020. 'Although'-constructions in varieties of English. World Englishes 39: 443–461. doi: 10.1111/weng.12484 https://doi.org/10.1111/weng.12484 Schützler, Ole. 2018. Concessive constructions in varieties of English. University of Bamberg: unpublished postdoctoral thesis. Schützler, Ole. 2017. A corpus-based study of concessive conjunctions in three L1-varieties of English. In: Isabelle Buchstaller & Beat Siebenhaar (eds.), Language variation – European perspectives VI. Selected papers from the Eighth International Conference on Language Variation in Europe (ICLaVE 8), Leipzig, May 2015. Amsterdam / Philadelphia: John Benjamins. 173–184. doi: 10.1075/silv.19.11sch https://doi.org/10.1075/silv.19.11sch
Language	English
Producer	University of Bamberg https://www.uni-bamberg.de/en/
Contributor	Other : Vetter, Fabian
Distributor	The Tromsø Repository of Language and Linguistics (TROLLing) (TROLLing) https://trolling.uit.no/
Depositor	Schützler, Ole
Deposit Date	2021-01-20
Time Period	Start Date: 1988 ; End Date: 2010
Date of Collection	Start Date: 2013-04-01 ; End Date: 2017-09-30
Data Type	Corpus data
Software	AntConc, Version: 3.5.7 R, Version: 3.6.2 RStudio, Version: 1.2.5033 R package 'brms', Version: 3.6.2 R package 'rstan', Version: 2.19.3 R package 'StanHeaders', Version: 2.21.0-1 R package 'lattice', Version: 0.20-38 R-package 'latticeExtra', Version: 0.6-29
Related Material	Project repository on the Open Science Framework: https://osf.io/m4tfc/
Data Source	Nine components of The International Corpus of English: Great Britain, Ireland, Canada, Australia, Jamaica, Nigeria, India, Singapore, Hong Kong
Documentation and Access to Sources	https://www.ice-corpora.uzh.ch/en.html [ICE-website at the University of Zurich] Kirk, John & Gerald Nelson. 2018. The International Corpus of English project: A progress report. World Englishes 34(4): 697–716. https://doi.org/10.1111/weng.12350

Geospatial Metadata

Geographic Coverage	United Kingdom Ireland Canada Australia Jamaica Nigeria India Singapore Hong Kong

Dataset Terms

License/Data Use Agreement

Our Community Norms as well as good scientific practices expect that proper credit is given via citation. Please use the data citation shown on the dataset page.

Custom Dataset Terms — the following Custom Dataset Terms have been defined for this dataset.

This dataset, "Concessive constructions in varieties of English: Corpus data", may be reused according to the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license as described here: https://creativecommons.org/licenses/by-nc/4.0/.

This dataset contains data from the International Corpus of English (ICE). The ICE license (cf. https://www.ice-corpora.uzh.ch/dam/jcr:7ae594b2-ee97-4935-8022-7d2d91b60be4/ICElicence_UZH.pdf) and the file "Corpus_licences.pdf") includes the following conditions:

“The Corpus must be used for non-profit academic research purposes only. […] The Licensee agrees not to reproduce or redistribute the Corpus or to use all or any part of the Corpus texts in any commercial product or service.”
“Publications based on the Corpus may include citations from texts only in a way which would be permitted under the fair dealings provision of copyright law.”
“If you publish a paper using any ICE corpus, please send a reference to ice@es.uzh.ch.”

In this dataset, "Concessive constructions in varieties of English: Corpus data", the data files “concessives_1.csv”, “concessives_2.csv”, and “concessives_3.csv” contain statistical data / calculations based on nine national components of the ICE. In addition, the files contain

the keywords which the ICE was searched for, and for each token
the genre indication used in ICE, and
the unique alpha-numeric identifier used in ICE.

However, the files do not contain any coherent (parts of) utterances which the keywords were found in as all context was removed from the data files.

According to UK Copyright Law (cf. https://www.gov.uk/guidance/exceptions-to-copyright#fair-dealing), “[f]actors that have been identified by the courts as relevant in determining whether a particular dealing with a work is fair include:

"does using the work affect the market for the original work? If a use of a work acts as a substitute for it, causing the owner to lose revenue, then it is not likely to be fair"
"is the amount of the work taken reasonable and appropriate? Was it necessary to use the amount that was taken? Usually only part of a work may be used”

The extracts used in this present dataset may be said to represent fair dealing according to both these factors:

The extracted material does not affect the market for the original work, as it is unlikely that any researcher would refrain from using the ICE because of the availability of the extracted material contained in the present dataset.
The amount of the extracted work is reasonable and appropriate as it was necessary to carry out the study, and as it is necessary to replicate the study. Also, the extracted material does not even contain the context for the keywords, and publishing the data files does therefore not infringe the copyright of the original IPR holders.

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License/Data Use Agreement

Our Community Norms as well as good scientific practices expect that proper credit is given via citation. Please use the data citation shown on the dataset page.

Custom terms specific to this dataset Custom Dataset Terms — the following Custom Dataset Terms have been defined for this dataset.

“The Corpus must be used for non-profit academic research purposes only. […] The Licensee agrees not to reproduce or redistribute the Corpus or to use all or any part of the Corpus texts in any commercial product or service.”
“Publications based on the Corpus may include citations from texts only in a way which would be permitted under the fair dealings provision of copyright law.”
“If you publish a paper using any ICE corpus, please send a reference to ice@es.uzh.ch.”

the keywords which the ICE was searched for, and for each token
the genre indication used in ICE, and
the unique alpha-numeric identifier used in ICE.

However, the files do not contain any coherent (parts of) utterances which the keywords were found in as all context was removed from the data files.

"does using the work affect the market for the original work? If a use of a work acts as a substitute for it, causing the owner to lose revenue, then it is not likely to be fair"
"is the amount of the work taken reasonable and appropriate? Was it necessary to use the amount that was taken? Usually only part of a work may be used”

The extracts used in this present dataset may be said to represent fair dealing according to both these factors:

The extracted material does not affect the market for the original work, as it is unlikely that any researcher would refrain from using the ICE because of the availability of the extracted material contained in the present dataset.
The amount of the extracted work is reasonable and appropriate as it was necessary to carry out the study, and as it is necessary to replicate the study. Also, the extracted material does not even contain the context for the keywords, and publishing the data files does therefore not infringe the copyright of the original IPR holders.

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