I would also like to thank my family for their emotional and practical support during my studies. Last but not least, I would like to thank my colleague Maria Lazoglou for her support in this difficult undertaking. For the purposes of this study, four corpora were compiled, consisting of summaries of research articles from scientific journals in the fields of (a) theoretical linguistics, (b) applied linguistics, (c) theoretical physics, and (d) applied physics.
The findings of the study reveal specific similarities and differences between abstracts from different disciplines.
Introduction
Literature Review
- Genre and Genre Analysis
- The Research Article (RA) Abstract
- Purpose
- Move Analysis
- Move Analysis Models
- Corpus-based discourse analysis
- Corpora and Academic Genre Analysis
- Metadiscourse
- Hedges and Boosters
- Academic Vocabulary
- Academic Writing – Pedagogical Implications
A summary of a humanities work can contain the thesis, background and conclusion of a larger work. The characteristics emphasized in this definition are the accuracy and representativeness of the RA extract. One of the most influential frameworks for analyzing introductions to research articles is the Swales CARS (Creating A Research Space) framework (1990).
For this reason, it is useful to see some of the features of corpus linguistics, as well as corpus-based discourse analysis.
The Study
Research Questions
The Corpora
Methodology
- Move Analysis
- Hedging and boosting
- Academic Vocabulary
Blue represents move 1, green represents move 2, purple represents move 3, black represents move 4 and red represents move five. In week 2, after reading a text about the target grammatical structure (i.e. the subjunctive past tense in English), the +WL group wrote about their understanding of the relevant rule (i.e. written language use) and worked on the –WL- group on a grammar exercise related to this structure. All data from the analysis were organized into tables in Microsoft Excel 2016 and frequency counts were performed using the same program.
A list was compiled in Microsoft Excel 2016, with those protections or enhancers that appeared in the abstract, with those that did not appear at least once, excluded from the analysis.
Results
- Move Analysis
- How many abstracts follow Santos’ pattern?
- Which are the prevailing patterns in each corpus?
- Comparing the Corpora
- Examples
- Hedges – Boosters
- Comparison between the Corpora
- Comparing the Variety of Hedges and Boosters
- Distribution of hedges and boosters
- Academic vocabulary results
These results indicate that the primary objective of a research paper abstract in the field of applied linguistics is to present the research. As in the corpus of applied linguistics, we can see here that all the moves are made by the authors of the summaries. The three moves used at the beginning of summaries are moves 1, 2, and 3.
In the Corpus of Theoretical Linguistics, there is only one summary that covers all five moves, in the specific order. In this extract from theoretical linguistics we see that move 1 is much shorter than that in the applied disciplines. The previous sections have shown that this is one of the moves that is mandatory in all corpora.
49 In this extract from the corpus of applied linguistics, the researcher gives a detailed description of the methodological tools that were used in the research. Here we have one of the cases where movement 3 is realized in the given corpus. By comparing the data obtained from the corpora we see that we have differences in the way defenses and boosters are used in each discipline.
More specifically, we have 47 cases of hedges in the theoretical linguistics corpus compared to 44 cases in the applied linguistics. In this set of corpuses, we again see that there is not much difference between the occurrences of hedges in the abstracts, where the physics corpus used contains another 3 occurrences of hedges. For the next step in the analysis, the academic and technical vocabulary in the corpora was analyzed.
68 The most common academic word in this corpus was use, which indicates that a lot of emphasis is placed on the methods used in the research.
Key Findings
Revisiting the Research Questions
The results of the study revealed that there are differences that can be attributed to the discipline to which each abstract belongs. More specifically, abstracts belonging to Theoretical Physics or Theoretical Linguistics were found to include in the vast majority of cases Move 1, which is the step that places the research within a theoretical framework. This may have implications for prospective authors, as it shows the importance of situating the research in the theoretical disciplines.
The study found yet another disciplinary difference, but this time the distinction does not have to do with theoretical or applied, but with whether the abstract belongs to linguistics or physics. Furthermore, it was found that most abstracts, regardless of discipline, use approximately four moves, so this number of moves could be sufficient for an acceptable abstract of a research article. The study found that there are differences in the way metadiscoursal elements are used in the summaries, and that these can be attributed to disciplinary differences.
As Hyland (2005) points out, social and hard sciences use hedges and boosters differently, as he found that both of these elements are more often used in the social sciences. The results of the present study suggest that both disciplines use hedges and boosters in research paper abstracts, but in the hard sciences there is one. This can be attributed to researchers from the hard sciences considering their data a more important authority than themselves.
It seems that academic and technical vocabulary play different roles according to the discipline they belong to. This could be attributed to the fact that they are short texts and they are quite specialized.
Pedagogical Implications
This can be attributed to researchers from the hard sciences considering their data a more important authority than themselves. 3) What role does academic vocabulary play in scientific abstracts. It seems that technical vocabulary is very important for physics, whereas academic vocabulary is more important for linguistics. This can have major implications for teaching, as students tend to be more familiar with academic vocabulary compared to purely academic vocabulary.
It appears that abstracts of academic articles are more academic in nature than other academic texts (e.g., Martınez, Beck, & Panza, 2009). In other words, their denser nature leads them to include more academic vocabulary than longer writings. 72 understand how they should be used in different disciplines and what kind of training the students need to use them correctly.
Findings related to academic vocabulary can also be used in the ESP classroom, as through the findings students will not only have the chance to see what kind of vocabulary is their target, but also how it is used in the abstract, as well as what percentage of academic vocabulary is acceptable in an academic research paper abstract depending on their discipline. In the next section, there are some suggestions about activities that can be used in the classroom to improve the students' performance, as well as their chances of being published.
Suggested Activities
Moreover, here we determine the positron diffusion constant by means of the positron distortion potential. By comparing the ET, AR and CAR processes via channels 1 and 2, we perform a systematic study of the transport properties of the QD-MBS ring. The length of DNA persistence is a key parameter for the quantitative interpretation of the conformational properties of DNA and is related to the bending stiffness of DNA.
A series of experiments pointed out that in the DNA condensation process with multivalent cations, the condensed DNA takes extended coil or compact globule states, and the population of the compact globule states increases with an increase in ion concentration. The autocorrelation function of the tangent vectors is found as an efficient way to detect the ionic concentration dependence of toroidal conformations. The autocorrelation function of the tangent vectors is found as an efficient way to detect the ionic concentration dependence of toroidal conformations.
The second area to explore in academic writing education is that of hedging and boosting. For academic vocabulary, students could be given a list of academic and non-academic words and asked which of the words they would expect to find in an abstract of a research article. Later they could be given a summary with gaps, and they could be given a multiple choice exercise, where one of the choices is academic while the other is not, and they are asked to choose the most appropriate word for each gap.
A comparison of the experimental groups' writing performance on the pre- and post-lesson tests improves, while no progress was found in the control group. If necessary, they may be asked to replace some of the non-academic and non-technical vocabulary with more appropriate words.
Conclusion
Frequency analysis of Academic Word List (AWL) and non-AWL content words in applied linguistics research articles. Regional pragmatic differences in discourse marker use emerge in informal conversation between students in Quito (Ecuador), Santiago (Chile), and Seville (Spain). However, the inclusivity of the LGBT class was not self-evident; new members often struggled to establish themselves in the group.
The results indicate that, despite the clear content orientation in the tasks, linguistic conditions play a role in handling the tasks. The photomodification effect on the recombination rate was stronger in the layers with higher Al content, indicating the involvement of the Al atoms in this process. The increase in the diffusion coefficient of up to 2.4 times was accompanied by a 13% decrease in the lifetime of the carrier.
Conversely, each of these interpretations can be encoded by any of the available morphosyntactic structures. Catalan presents isomorphism between surface structure and prosodic pattern in mapping the theme-rheme partition (information state). The change in the value of the atomic angle plays a role in variance squeezing, where it is pronounced for 𝜃 = π/3.
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We present an exact treatment of the thermodynamics of physical systems within the framework of the General Uncertainty Principle (GUP).