This chapter discussed the persuasive function of academic writing in research articles, emphasizing exemplification as a key rhetorical strategy to aid reader comprehension and promote knowledge exchange. It noted the scarcity of systematic study on exemplification in applied linguistics and positioned the paper as a response to this gap. Drawing on Fillmore's frame semantics, it summarized a corpus analysis of 80 research articles that identified 13 exemplification markers activating five FrameNet frames and 22 frame elements. From these, a concise exemplification frame was proposed, comprising two core elements—Type and Instance—and two non-core elements—Initial_set and Instance_prop—highlighting exemplification's cognitive and rhetorical roles in academic discourse.
This chapter discusses how persuasion, though masked by objectivity, drives the dissemination of new claims in research articles, turning them into accepted knowledge. It reviews established devices like citation and comparison but notes that exemplification remains under-researched despite its widespread use. Drawing on recent frequency evidence from applied linguistics journals, it argues for a systematic account of exemplification markers and proposes a frame-semantic model that maps cognitive scenarios, frame elements and rhetorical functions to explain how examples enhance persuasive discourse.
This chapter describes the theoretical foundations and prior empirical findings that motivate the construction of an exemplification frame for applied linguistics research articles. It begins by outlining frame semantics as a cognitive-semantic theory in which every lexical unit activates an encyclopedic, context-bound semantic frame composed of core and non-core elements. The frame is grounded in shared human experience and, when instantiated in a specific genre, mirrors the discourse community's collective knowledge and rhetorical habits. Although originally devised to explain polysemy and lexical change, the framework has recently been extended to discourse-level analyses of academic writing. Corpus-based studies have generated discipline-specific frames such as Surprise, Knowledge emotion, and Comparison-and-contrast, demonstrating that semantic frames can model how disciplines package and transmit knowledge. The chapter stresses, however, that only a handful of such frames have been extracted from research articles, underscoring the need for further frame development.
The chapter then reviews research on exemplification as a rhetorical strategy that clarifies or supports propositions by means of concrete illustrations. Exemplification is defined as a tripartite discourse move comprising an exemplified unit, an overt exemplification marker, and an exemplifying unit; the exemplified unit may occasionally remain implicit. Three organizational patterns are noted: instantiation of a general category, parallel or analogous case, and provision of a rule or precept. Empirical work shows that exemplification is significantly more frequent in academic prose than in other genres, yet novice writers often struggle to deploy it effectively. Most scholarship has concentrated on lexical markers such as "for example" and on local grammatical configurations, identifying 21 recurrent surface patterns across disciplines including chemistry, physics, computer science, management, linguistics, and education. These studies reveal disciplinary variation in forms but leave the higher-level semantic and cognitive structure of exemplification largely unexplored.
Because exemplification inherently relies on the activation of encyclopedic knowledge to link an abstract claim with a concrete instance, its underlying structure aligns naturally with the principles of frame semantics. The chapter therefore argues for integrating frame-semantic methods into exemplification research to uncover how this rhetorical move functions in the construction and dissemination of disciplinary knowledge. The proposed study aims to fill this gap by deriving an exemplification frame from applied linguistics research articles, specifying the semantic frames and frame elements triggered by exemplification markers, delineating subcategories within each element, and explicating the rhetorical and cognitive work these elements perform in scholarly communication.
This chapter described the construction of a 500,000-word corpus comprising 80 applied linguistics research articles published 2020-2022 in Applied Linguistics and Language Teaching, both SSCI journals with impact factors above 3.0; stratified random sampling (40 articles per journal) secured representativeness, reputation, and accessibility, while titles, tables, figures, notes, and references were removed. It documented the compilation of a wordlist of exemplification markers through prior scholarship and FrameNet 1.7, followed by corpus verification that yielded 13 validated markers; peripheral instances and the marker e.g. were excluded. Research procedures involved AntConc searches for exemplification cases, contextual expansion to adjacent sentences, and manual filtering of inconsistent tokens. FrameNet data—frame names, definitions, salient elements, and examples—were retrieved; unannotated markers were aligned to cognate frames (e.g., particularly → Specific_individual). Core frames share an abstraction-concretion structure: Increment (Class, Initial_set, Added_set), Inclusion (Total, Part), and Specific_individual/Instance/Exemplar (Type, Instance) with non-core elements Instance_prop, Explanation, and Domain. Annotation with UAM Corpus Tool achieved inter-coder ICC = 0.991 and intra-coder ICC = 0.994; frequencies were calculated and a unified exemplification frame was synthesized for applied linguistics articles, with functional analyses grounded in illustrative cases.
This chapter presented a fine-grained analysis of 1,400 exemplification instances extracted from applied-linguistics research articles and traced them to five FrameNet frames: Instance, Increment, Inclusion, Specific_individual, and Exemplar. Numerically, 85.93 % of all tokens invoked the Instance frame through markers such as for example, such as, like, as in, case, etc., corroborating earlier corpus findings while showing a still higher dominance. The remaining four frames together accounted for less than 15 % because their lexical triggers (e.g., another example, among others, one notable case) were comparatively scarce. Despite their divergent foci—Instance presents a prototypical token, Increment supplies an additional token, Inclusion enumerates members of a set, Specific_individual spotlights a salient token, and Exemplar offers an ideal representative—the five frames were argued to form an interlocking exemplification network rooted in the basic Instance frame.
Frame-element counts revealed a strong skew toward the element Instance (or its semantic equivalents Added_set and Part), collectively covering every overt example supplied in discourse. Type (or Class/Total) denoted the category under discussion and appeared in 92 % of cases, indicating that authors almost always signaled the general concept before illustrating it. Initial_set, unique to Increment, captured previously mentioned information and remained analytically distinct. Instance_prop, Part, Total, Explanation, and Domain each registered below 3 %; the rarity of Explanation and Domain was taken to reflect the discipline's applied orientation, where everyday knowledge reduces the need for extensive definitional support.
Consolidating overlapping roles across frames yielded a four-component discourse pattern: (a) the exemplified unit (Type), (b) the concrete example(s) (Instance), (c) background information (Initial_set), and (d) descriptive properties of the example (Instance_prop). From these recurrent components the study distilled a dedicated "exemplification frame" tailored to applied-linguistics articles. Type and Instance were assigned core status because they are obligatory to the rhetorical act; Initial_set and Instance_prop were deemed non-core because their inclusion depends on local argumentative needs.
Type itself bifurcates into entity (61.96 %) and statement (38.04 %). An entity is any discrete concept, term, or object—typically realized as a noun phrase—whose boundaries are explicitly named; a statement is a complete proposition or idea rendered as a clause or sentence that requires elaboration. The preponderance of entities over statements suggests that authors in the corpus prefer to flesh out categorical constructs rather than to exemplify entire claims.
This chapter synthesized 80 applied-linguistics articles to model exemplification as a four-element frame: Type, Instance, Initial_set, Instance_prop. Type and Instance encode the general and exemplifying units; Initial_set and Instance_prop supply optional contextual detail. The frame clarifies abstraction, supports argument, and heightens persuasion. Compared with earlier accounts, it offers finer granularity and contextual sensitivity, supplying empirical backing for frame-semantic analyses of academic discourse. The model can reveal how disciplinary norms, author knowledge, paradigms, and diachronic change shape exemplification processes and can guide novice writers. Limitations include a small, two-journal sample, discipline-specific scope, and untested pedagogical impact; larger corpora, cross-disciplinary replication, and classroom studies are recommended.
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