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Record W211386803

Focus on Accent: A Sociolinguistic Perspective of Diversity in the Classroom

2004· article· en· W211386803 on OpenAlexaboutno aff
Susan J. Behrens, Amy R. Neeman

Bibliographic record

VenueResearch in the Teaching of Developmental Education · 2004
Typearticle
Languageen
FieldSocial Sciences
TopicLinguistic Variation and Morphology
Canadian institutionsnot available
Fundersnot available
KeywordsLinguisticsPsychologySociolinguisticsGrammarPronunciationStress (linguistics)Sociology
DOInot available

Abstract

fetched live from OpenAlex

Abstract Past studies have shown that language differences, in accent and grammar, found in both native and foreign language speakers, elicit reactions in listeners that transfer over to judgments about the speakers' personalities. The current study examines such sociolinguistic responses in the setting of a college classroom. We conclude that an increased awareness on both the part of the instructors and students, and an examination of biases and preconceived ideas of accents, will result in more efficient teaching and learning. Throughout the world, stereotypic attitudes are commonly held towards groups of people in terms of such traits as race, gender, religion, and nationality. In the same vein, biases exist toward speakers of other languages or language varieties. It seems that people are very ready to judge others based on their speech. Sociolinguistics is a field of study that looks at the connection between language and society. Dell Hymes, one of the pioneers of the field, believes that the structure of society may influence our use of, and attitudes toward, particular kinds of language, especially accents. Language may then be used to discriminate against and to control certain segments of society. Groups associated with a linguistic trait that is stigmatized (pronouncing aks for ask) are also stigmatized (Hymes, 1974; Newman, 2002). Sociolinguists would argue that there is nothing intrinsic to a linguistic feature that, on its own, makes it abhorrent. Instead, biases against a group are validated by devaluing certain linguistic markers associated with that group. Some perceptions of speech quality do seem to be common in society. For example, English spoken with a foreign accent is labeled broken English (Reich, 2000). Even the speech of native speakers is vulnerable to judgment. Speech that has a good deal of nasal resonance is labeled unpleasant and unclear (Blood & Hyman, 1977). Speech with glottal sounds is labeled as harsh speech. Speech spoken quickly may be labeled pushy and aggressive (Tannen, 1990). Yes, a language may have certain nasalized sounds, glottal sounds, a particular rate and melody. These judgments about speech are more than descriptive, however, and they are often transferred to judgments about the speaker. Hence, the speakers are unpleasant, harsh, aggressive. Further, the process of judging and categorizing people by speech can be quite unconscious or even seem natural, something people would not question. If a subordinate social group holds a negative view about speakers in a dominant social class, there is much less social consequence than if a dominant group holds prejudices against a group with less social power. The latter situation may influence public policy, educational decisions, and contribute to intolerance of others. For example, bilingual education has been under attack in California, Texas, and a growing number of other states (Krashen, 1999). Further, one can think of the language police in Montreal, who patrol for violations of French dominance (Bonvillain, 2000). Then there is the long-term debate over African American Vernacular English, more recently renamed Ebonics, an issue which linguists view as essentially a struggle over language form and social power (Linguistics Society of America, 1997). The classroom is a natural forum for discussing linguistic stereotypes and attitudes. We have found that such discussions increase students' awareness of self, their behavior and attitudes, as well as their views of native accents and those of students learning English as a second Language (foreign language accents). How are our language personalities viewed by others? By ourselves? We will review studies that show a marked degree of sensitivity to aspects of language by speaker group and by listener group. Indeed, some studies found instructors' responses to accents to differ more harshly from the responses of non-educators. …

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 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)0.007
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.231
Threshold uncertainty score0.960

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.162
GPT teacher head0.469
Teacher spread0.307 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations6
Published2004
Admission routes1
Has abstractyes

Explore more

Same venueResearch in the Teaching of Developmental EducationSame topicLinguistic Variation and MorphologyFrench-language works237,207