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Record W2267404765 · doi:10.14288/1.0056010

Seeing things from different corners: a story of learning and culture

2009· article· en· W2267404765 on OpenAlexaboutno aff
Lynette Alice Anne Harper

Bibliographic record

VenuecIRcle (University of British Columbia) · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Education and Multiculturalism
Canadian institutionsnot available
Fundersnot available
KeywordsAestheticsComputer scienceArt

Abstract

fetched live from OpenAlex

This is very important, Lynette, believe me. Because half of the problems, or tension, or suffering, that the immigrant or refugee has, when they come not only to Canada, anywhere in the world, is this big question, “How can I become a European, or a Canadian?” And they feel, “ I am not. . . . I am Middle Eastern. This is terrible, I want to go back. I can’t fit here.” They need somebody to tell them, you don’t have to be Canadian. You have to understand Canada. These words were spoken to me by Mira, a Lebanese refugee whose life history is the focus of this study. Like most newcomers, Mira encountered many challenges in Canadian society. Some international migrants respond by integrating, while others assimilate, separate, or marginalize themselves. The profusion of literature on migration says little about learning and its relationship to these individual responses and social interactions. This study investigates migrant transition through anthropological life history, an interpretive methodology which links the personal perspective with abstract theories and large social processes. I worked in collaboration with Mira to construct a rich contextualized description and interpretation of her life. This life history challenges current linear models of culture learning and adaptation. It describes an evolving transition process of interdependent changes, which take place on many levels. Mira experienced culture shock when she confronted something that didn’t make any sense to her, something that contradicted her own expectations and meanings. This triggered a process of transformative learning, in which Mira’s ethnocentrism and dualism shifted towards cultural pluralism and a relativist epistemology. She built upon her own subjective insights and acceptance of different opinions to develop what she called “flexibility”, a repertoire of understandings and an awareness of possibilities which she assessed through critical reflection to create her own choices and commitments. At the same time, Mira developed “practicality,” a sense of agency associated with her growing autonomy and competence in Canadian society. The contradictions posed by her migration from Lebanon to Canada forced issues of identity to Mira’s consciousness. Even as she began to articulate and reflect upon herself in relation to a pluralistic society and culture, her need for intimacy and belonging led her to a deep emotional affiliation with her homeland and with other Lebanese. Mira constructed a “harmony”, a coherent sense of identity based on stable values and a strong ethnic identity. While outwardly she appeared to conform to mainstream Canadian ways and values, she chose to locate herself on the margins of Canadian society, and to actively resist aspects of both Canadian and Lebanese society through teaching and storytelling. Mira’s peripheral position and strategies are like those of an ethnographer studying a foreign culture. Her life in Canada was a personal research project, motivated by the search for a safer place to live and a commitment to personal growth. Her story reveals extraordinary courage and strength, and testifies to the resilience of the human spirit despite the traumas of civil war and migration. My interpretation of Mira’s story overlays her narrative, drawing upon scholarly literature to reveal intersections between theories from various disciplines. This life history suggests ways to further develop and integrate theories of learning and culture, and directions for educational policy and practice. As Mira said at our last meeting: When you talk about cultures, and people, and adult education, it’s nothing like when you say I want to write a story, and at the end you put a full stop and that’s the end. No. It’s like art. There is no final stop. You always find something. you always learn about something, every time you learn about something you discover that there are so many things you still need to learn about.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.836
Threshold uncertainty score0.858

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 head0.009
GPT teacher head0.215
Teacher spread0.207 · 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 designObservational
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
Published2009
Admission routes1
Has abstractyes

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