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Record W4414096779 · doi:10.1080/25729861.2025.2502726

Migrating with objects: material abandonment, continuity, and hope in the context of migratory precarity in Chile

2025· article· en· W4414096779 on OpenAlexfundno aff
Caterine Galaz Valderrama, Blanca Callén

Bibliographic record

VenueTapuya Latin American Science Technology and Society · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical and Social Dynamics in Chile and Latin America
Canadian institutionsnot available
FundersAgencia Nacional de Investigación y DesarrolloGeneralitat de CatalunyaUniversity of Victoria
KeywordsPrecarityPerformative utteranceObject (grammar)Agency (philosophy)Context (archaeology)Action (physics)AnthropocentrismFunction (biology)

Abstract

fetched live from OpenAlex

Transnational movements involve not only migrating individuals but also the objects that travel with them across borders. The process of migration is thus composed of heterogeneous semiotic-material elements, both human and non-human, shaped by precarious conditions for both people and things. The objects transported or lost during a person's journey function as extensions of their bodies and as companions in their migratory experiences. Drawing on science, technology, and society (STS) studies and feminist action research, and using a methodological approach centered on the relationships between five migrants living in Santiago, Chile, and their objects, this study explores how these objects can serve as valid epistemic co-agents in the production of knowledge about specific social phenomena. It also highlights their role as indispensable companions and agents in the (re)construction of migrant memories and subjectivities. Through three performative acts – discarding an object and writing its obituary, composing a love letter to an object one would never part with, and creating an amulet for future experiences – we move away from the eminently anthropocentric and humanistic approach of social studies to migration and instead show how agency is distributed between humans and non-humans in the process of migration.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.353
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.003
Science and technology studies0.0010.016
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 head0.006
GPT teacher head0.282
Teacher spread0.276 · 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 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

Citations1
Published2025
Admission routes1
Has abstractyes

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