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Record W7062659592

Translation in the process of immigration for Syrian refugees in Canada

2022· dissertation· en· W7062659592 on OpenAlexaboutno aff

Bibliographic record

VenueSpectrum Research Repository (Concordia University) · 2022
Typedissertation
Languageen
FieldEngineering
TopicAdvanced Power Generation Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsRefugeeImmigrationSyrian refugeesInterpreterScholarshipInterpretation (philosophy)Displaced personInterviewSpanish Civil WarContext (archaeology)
DOInot available

Abstract

fetched live from OpenAlex

In this thesis the main focus is on one chapter of the history of immigrants to Canada: that of the Syrian refugees. The civil war in Syria and the national immigration plan for assisting Syrian refugees in their migration and resettlement in Canada motivated me to consider the needs for translation and interpretation on migrants seeking asylum and refugee status in Canada. I have drawn on themes and insights from the translation and interpretation studies literature to address my study. The thesis also reflects on subjects and issues that are addressed and examined by scholarship in the interdisciplinary disciplines of migration studies and oral history. By investigating the actual migration process and Canadian five-phase Syrian refugee plan, and by identifying the points where translation and interpreting would occur, and interviewing the Syrian refugees, it was proven that translation and interpreting needs were present and were met by unofficial and official translators and interpreters – in addition to automatic machine translation. The purpose of the research was not only to clarify translation and interpreting services as they are required in the refugee migration process, but also to ascertain whether they generally met the needs of refugees as they settled into life in Canada. \n \nDans le cadre de ce mémoire, l'accent est mis sur un seul chapitre de l'histoire des immigrants au Canada : celui des réfugiés syriens. La guerre civile en Syrie et le plan national d'immigration pour aider les réfugiés syriens dans leur migration et leur réinstallation au Canada m'ont motivé à considérer les besoins de traduction et d'interprétation pour les migrants qui demandent l'asile et le statut de réfugié au Canada. Mon étude puise certains thèmes et idées de la littérature sur les études de traduction et d'interprétation tout au long de la recherche. Le mémoire constitue également une réflexion sur des sujets et des problèmes qui sont abordés et examinés par la recherche dans les disciplines interdisciplinaires des études sur la migration et l'histoire orale. En faisant une recherche sur le processus de migration proprement dit et sur le plan « Opération visant les réfugiés syriens » mis en place au Canada, et en identifiant les points où la traduction et l'interprétation auraient lieu et en interrogeant les réfugiés syriens, il a été prouvé que les besoins de traduction et d'interprétation étaient présents et étaient satisfaits par des traducteurs et interprètes non officiels et officiels - en plus de la traduction automatique. Le but de la recherche était non seulement de clarifier les services de traduction et d'interprétation tels qu'ils sont requis dans le processus de migration des réfugiés, mais aussi de déterminer s'ils répondaient généralement aux besoins des réfugiés lorsqu'ils s'installaient au Canada.

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 imitation

Not 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.

metaresearch head score (Codex)0.010
metaresearch head score (Gemma)0.021
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.113
Threshold uncertainty score0.819

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.021
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.006
Science and technology studies0.0420.019
Scholarly communication0.0170.004
Open science0.0020.008
Research integrity0.0020.006
Insufficient payload (model declined to judge)0.0090.001

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.

Opus teacher head0.015
GPT teacher head0.272
Teacher spread0.257 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations0
Published2022
Admission routes1
Has abstractyes

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