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Record W4206146083 · doi:10.7202/1085314ar

Migrant Memory, Movement, and Misrecognition: Reactivating Diasporic Experience Toward an Anticolonial Politics of Place

2022· article· en· W4206146083 on OpenAlexvenueaboutno aff
Jimena Ortúzar

Bibliographic record

VenuePerformance Matters · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsnot available
Fundersnot available
KeywordsUndoingEmbodied cognitionColonialismImmigrationIndigenousMovement (music)SociologyPoliticsGender studiesTemporalitiesDisplacement (psychology)Assimilation (phonology)Forced migrationState (computer science)AestheticsHistoryPsychologyPolitical scienceRefugeeArtPsychoanalysis

Abstract

fetched live from OpenAlex

How might diasporic experiences of loss and displacement aid immigrants in responding to and acknowledging Indigenous lands and territories? Drawing from my own immigrant experience, I retrace and reinvent my movement in Tkaronto through walking practices that recover memories of migrancy as a newcomer to the land known as Canada. Such memories can be useful sources for immigrants to consider their relationship to settler colonialism. Reactivating them through movement might elicit a new responsiveness to the land as well as recognition of its caretakers and their struggles. I reflect on the possibilities that such a practice of walking and thinking through embodied memories can open up for undoing the coloniality of thought that underpins migrant aspirations for “a better-than-survival kind of living” (Berlant) and that so often results in assimilation to, and participation in, a settler colonial state.

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)0.003
metaresearch head score (Gemma)0.004
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 score0.018
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0110.027
Scholarly communication0.0070.005
Open science0.0010.008
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0030.000

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 head0.023
GPT teacher head0.292
Teacher spread0.269 · 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 routes2
Has abstractyes

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