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Record W2070382320 · doi:10.1353/utq.2006.0046

Building Coherence and Cohesion: Task-Oriented Dialogue in English and Spanish (review)

2006· article· en· W2070382320 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueUniversity of Toronto Quarterly · 2006
Typearticle
Languageen
FieldArts and Humanities
TopicSpanish Linguistics and Language Studies
Canadian institutionsnot available
Fundersnot available
KeywordsCohesion (chemistry)LinguisticsRhetorical questionComputer scienceConversationCoherence (philosophical gambling strategy)AmateurNegotiationPsychologySociologyHistory

Abstract

fetched live from OpenAlex

Reviewed by: Building Coherence and Cohesion Joyce Bruhn De Garavito (bio) María Teresa Taboada . Building Coherence and CohesionJohn Benjamins. xiv, 262. US $138.00 This book offers a detailed examination of how coherence and cohesion are built in oral conversations. It focuses on task-oriented speech, namely scheduling dialogues, in two languages: Spanish and English. The data are not fully naturalistic, because they are part of experimental research carried out by Carnegie Mellon University and the University of Pittsburgh, originally designed to study machine translation possibilities. Pairs of speakers of each language were asked to try to negotiate a date and time in which they could meet. The speakers could not see each other, and the dialogues were recorded. The result, to judge by the examples, seems very natural. The book comprises eight chapters and an appendix. After a brief introduction in the first chapter, the author delves into a detailed examination of the theoretical issues related to the application of frameworks and methodologies developed primarily for written samples to the analysis of oral conversation. In fact, one of the strengths of the book is the in-depth review of the literature, spanning not only the field of genre analysis, but also cultural studies, linguistics, second language acquisition, and others. The third chapter describes the data, including the participants, the task, and the type of coding used. The results are summarized in the following four chapters, with chapter 4 focusing on the thematic structure of the dialogues, chapter 5 on the rhetorical relations, chapter 6 on the development of cohesion, and chapter 7 on coherence. Chapter 8 summarizes the conclusions. In this review I will focus on the comparison of the results for the two languages, because I found them interesting given the issues that they raise regarding the analysis. The author leans to a structural definition of Theme, as the first element or point of departure of the message. The problem, as she points out, is that in English subjects are obligatory, while Spanish is a Pro-drop language. It is easy to predict, therefore, that in English the point of departure is often going to be the Participant subject while in Spanish it is going to be a Process. This difference falls out naturally from the grammatical structure of the language, and one may wonder what new information is gathered from a Thematic analysis of this type that cannot be deduced from the purely syntactic analysis. This problem may be more serious if we look at typologically distant languages. The other main difference between the languages was found in the types of cohesion devices used. English speakers favoured substitutions, while Spanish speakers favoured ellipsis. Again, this seems to be the result of the structure of the two languages involved. The final difference is, I think, more related to cultural differences than syntactic ones. In the development of the Progression sequences of the dialogues (opening, proposal/discussion, closing), the closing section of the dialogues was slightly longer for the Spanish speakers. It is possible to predict longer openings also, but, as the author points out, the speakers had already talked when [End Page 185] the experiment started, so it is possible they did not feel the need to extend the introductory segments. This book is a very valuable contribution to the field. It is remarkable how easily Taboada applies the concepts of genre analysis to oral production. Her analysis is detailed and careful. The frequent use of examples from the data guides the reader towards a clear understanding of how these conversations have been put together, the glue that makes them cohesive and coherent. This is an important book not only for those interested in the structure of conversations per se, but also in particular for second-language teachers, who can benefit from such an in-depth understanding of what makes conversations in different languages work. [End Page 186] Joyce Bruhn De Garavito Joyce Bruhn de Garavito, Department of Spanish, University of Western Ontario Copyright © 2006 University of Toronto Press Incorporated

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.808
Threshold uncertainty score0.940

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.007
GPT teacher head0.191
Teacher spread0.183 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it