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Record W3134016870 · doi:10.18806/tesl.v37i3.1343

Making Sense of Resistance: How Adult Immigrant Students Pursue Agency Through Identity Work in Higher Educational Contexts

2020· article· en· W3134016870 on OpenAlexvenueno aff
Emily K. Suh, Shawna Shapiro

Bibliographic record

VenueTESL Canada Journal · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicMultilingual Education and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsSociologyAgency (philosophy)Resistance (ecology)PedagogyIdentity (music)ImmigrationLiteracyCurriculumEthnographyCultural capitalPolitical scienceSocial science

Abstract

fetched live from OpenAlex

Student resistance in the language/literacy classroom has been an important focus of research in TESOL and applied linguistics. This article examines resistance by two adult-arrival immigrant students in a developmental literacy classroom, drawing from a larger ethnographic case study focused on students’ transition into community college. The students’ behaviours seemed puzzling or self-defeating to some college personnel, but when viewed through the theoretical framework of identity work, they can be read as attempts to counteract institutional marginalization. Findings from this analysis illustrate how an understanding of the histories, identities, and investments of adult immigrant learners can help educators respond to “difficult” moments in the classroom and beyond. This study has several implications for higher education practitioners: First, we must question our initial assumptions about student behaviours, so that we interpret those behaviours accurately. Second, we must be explicit about the norms of the academic culture, so that students can more effectively enact their desired identities and display symbolic capital in college courses. Finally, we must build curricula, policies, and pedagogies that are more inclusive and relevant for adult immigrant learners. These findings add to scholarly conversations about immigrant students’ funds of knowledge and agency enactment within postsecondary education. La résistance des étudiants dans la salle de classe de langue ou de littératie est devenue un point focal de la recherche en TESOL et en linguistique appliquée. Cet article examine la résistance de deux étudiants immigrants adultes récemment arrivés dans une classe de développement de la littératie, en s’appuyant sur une étude de cas ethnographique plus large qui se concentre sur la transition des étudiants vers un collège communautaire. Aux yeux de certains membres du personnel du collège, le comportement des étudiants semblait déroutant ou semblait nuire à leur réussite; cependant, quand on utilisait la perspective du cadre de travail identitaire, le comportement peut se comprendre comme des tentatives de contrecarrer la marginalisation institutionnelle. Les résultats de cette analyse illustrent comment la compréhension des histoires, des identités et des investissements des étudiants immigrants adultes peut aider les éducateurs à répondre aux moments « difficiles » dans la salle de classe et au-delà. Cette étude a plusieurs implications pour les praticiens de l’enseignement supérieur. Premièrement, nous devons remettre en question nos suppositions premières à propos du comportement des étudiants de façon à l’interpréter correctement. Deuxièmement, nous devons expliquer clairement les normes de la culture universitaire, afin que les étudiants puissent entrer plus efficacement dans leur identité recherchée et montrer leur capital symbolique dans les cours collégiaux. Pour conclure, nous devons créer des programmes, des politiques et des pédagogies qui soient plus inclusives et plus pertinentes pour les apprenants immigrants adultes. Ces résultats s’ajoutent aux conversations universitaires sur le fonds de connaissances des étudiants immigrants et leur capacité d’agir au sein de l’enseignement postsecondaire.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.581
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0070.000

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 head0.111
GPT teacher head0.447
Teacher spread0.336 · 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.

Study designNot applicable
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
Published2020
Admission routes1
Has abstractyes

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