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Record W3090292896 · doi:10.18432/ari29445

POST GRADUATE WORK PERMIT AND SOCIAL SUFFERING

2020· article· en· W3090292896 on OpenAlexaffvenueabout
Golbon Moltaji

Bibliographic record

VenueArt/Research International A Transdisciplinary Journal · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicYouth Education and Societal Dynamics
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsAutoethnographyAcculturationImmigrationWork (physics)SociologyGraduate studentsAdaptation (eye)Social workRelation (database)Social integrationPsychologyPedagogyAestheticsGender studiesPolitical scienceLawAnthropologyArtEngineering

Abstract

fetched live from OpenAlex

This study is an art-based autoethnography that examines the author’s first-hand experience of immigration-related adversities in four drawings created during transitioning to permanent residency in Canada via the Post Graduate Work Permit Program. The article takes a different route from the studies which acknowledge immigrants’ experiences of social suffering yet, explore the possibilities of eventual integration through adaptation and acculturation for immigrants. This article argues that marking suffering as an organic part of integration normalizes suffering and, even can be perceived as an attempt to eliminate the presence of suffering from the discourse. More importantly, this article emphasizes that the social suffering of immigrants cannot be comprehended separately from the entirety of a society that undoubtedly plays a part in inducing their suffering. Artistic content includes the researcher’s drawings made during her time under PGWPP that express her relation to the social landscape in Canada as an international post-graduate transitioning to permanent residency.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.345
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.263
GPT teacher head0.454
Teacher spread0.191 · 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 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
Published2020
Admission routes3
Has abstractyes

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