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Record W4367672012 · doi:10.1111/var.12289

Embodying Place

2023· article· en· W4367672012 on OpenAlexafffund
Nat Nesvaderani

Bibliographic record

VenueVisual Anthropology Review · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicPosthumanist Ethics and Activism
Canadian institutionsUniversité Laval
FundersSociety for the Humanities, Cornell UniversityUniversity of OxfordYork UniversityUniversity of TehranPrinceton UniversityUniversity of MinnesotaCharlotte W. Newcombe Foundation
KeywordsCitizen journalismRefugeeSituatedEmbodied cognitionSociologyAudio visualSpace (punctuation)Gender studiesMedia studiesVisual artsPolitical scienceMultimediaArtComputer science

Abstract

fetched live from OpenAlex

Abstract This article explores the implications of the Making Home Project, a participatory audio‐visual media project with migrant and refugee youth in Iran. This project does not picture the faces of youth as they express caring relationships and attachments to the people and places within the migrant neighborhoods where they reside—places locally characterized as poor, dangerous, and transient. I examine the audio, the visual and the off‐screen encounters of this participatory production to demonstrate how media outcomes are shaped by Afghan youth's differently situated refugee experiences in Iran. Ultimately, I argue that space and place are actualized through the embodied act of youth expressing and producing audio‐visual media about their homeplace.

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)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.008
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.033
Scholarly communication0.0060.005
Open science0.0010.007
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0080.001

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 head0.088
GPT teacher head0.473
Teacher spread0.385 · 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 designTheoretical or conceptual
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
Published2023
Admission routes2
Has abstractyes

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