Bibliographic record
Abstract
Often book reviews in the field of English language teaching pedagogy open by establishing the importance of a particular arena (e.g., vocabulary, motivation), imply that the book fills a gap in the current discourse, and then follow by detailing how the work may be beneficial in helping educators overcome obstacles that impede student goals.However, when reviewing Dat Bao's Silence in English Language Pedagogy: From Research to Practice, it is perhaps better to first highlight Bao's assertion that silence is an extremely flexible, dynamic, context-dependent construct and not necessarily an impediment toward language learner development.Indeed, Bao opens the book by challenging the reader to consider how silence is framed in the greater research consciousness by showcasing the disproportionate number of recent studies (2019-23) between "verbal participation in education" (13,136) and "silence in education" (281).To segue into this statistic, Bao shares a reaction he received at a conference when he suggested starting a research journal devoted to silent studies in education: "Why devote a whole journal to a negative theme?" (p. 1).Using these stats and anecdote as a launching point to his discussions on the challenges of defining silence, in Chapter 1 Bao cleverly positions silence in English language pedagogy as a topic worthy of exploring with an open mind.In Chapter 2, Bao presents his systematic review findings regarding the distribution of understandings of silence in 32 second-language acquisition (SLA) books published from 2001-22 and how there is substantial progress to be made in understanding the role of silence in SLA.Readers may be particularly interested in the degree to which Bao envisions the potential for growth in the field.This optimism is informed by the seemingly narrow scope and lack of creativity thus far regarding silence dimensionality evident in the systematic review.Chapter 3 continues with an in-depth analysis of five research trends stemming from the 1970s.Here Bao explicitly argues that he "has not simply reviewed the literature on silence but has critically systematised the essence of silence research and weighed its impact on language education" (p.52).In Chapter 4, Bao highlights how silence has been ignored in the language-learning pedagogical discourse and at times treated by stakeholders as something that should be eradicated from the classroom.This chapter stands out to me as a reviewer because Bao presents silence as an essential step in the languagelearning process.Here he outlines five principles of productive silence, six learner strategies in productive silence, a proposed model for classroom activities, and recommendations for teacher development.Due to the depth of perspective and practical advice offered, this chapter is a must-read for both language teachers and policy makers who struggle to accommodate silence in the classroom.In his concluding insights Bao writes the following: "If we stop seeing silence as an obstacle to be overcome, we might start seeing it as a resource to be utilised" (p.72).While silence has been mainly defended to this point, in Chapter 5, Bao acquiesces that indeed there are instances where silence can be problematic in the classroom.Drawn from scholarly research, eight scenarios are provided where silence fails to function productively.Moreover, Bao offers recommendations on how to deal with each scenario.When reviewing the eight scenarios it is clear that Bao remains on the side of silence, which is commendable.For example, scenario seven (silence as resistance to poor pedagogy) highlights how teachers can directly exacerbate silence.While it is true that students may remain silent in the face of poor pedagogy, Bao could have listed specific scenarios where language students purposely use silence as resistance (see L. Smith & King, 2018).Bao does, however, close the chapter by grouping a wide range of silent incidences as "demotivational dilemmas" (p.85).While advice is given (e.g., peer support), as a classroom teacher who faces learner silence on a consistent basis in Japan, I would have enjoyed a longer discussion on this topic.Interestingly, in Chapter 6, Bao seems to have predicted the preceding critique by acknowledging that many language teachers are interested in a "solution" to learner silence.Bao tactfully avoids this perceived
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.038 | 0.124 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.010 | 0.029 |
| Scholarly communication | 0.014 | 0.014 |
| Open science | 0.004 | 0.011 |
| Research integrity | 0.006 | 0.011 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".