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Record W2949270361

Tracings: Unraveling Home in the Diaspora

2019· dissertation· en· W2949270361 on OpenAlexaboutno aff
Haneen Dalla-Ali

Bibliographic record

VenueUWSpace (University of Waterloo) · 2019
Typedissertation
Languageen
FieldSocial Sciences
TopicMigration, Ethnicity, and Economy
Canadian institutionsnot available
Fundersnot available
KeywordsDiasporaSociologyGender studies
DOInot available

Abstract

fetched live from OpenAlex

Tracings: Unraveling Home in the Diaspora presents works that contemplate the notion of home, post-migration. Inspired by my family’s journey from the Middle-East to Canada, the thesis examines ways in which the juxtaposition of memories and spatial encounters can explore the hybridized domestic identity of an Iraqi-Canadian, living in the suburbs of Southern Ontario. For migrants, spaces they leave behind are solely accessible through memories, photos, and video calls with loved ones back home, whereas spaces they confront upon arrival remain distant and unfamiliar. Through the lenses of memory, experimentation, sensation, and encounter, I revisit the domestic spaces of my past and present, and respond to them using sketches, video recordings, photos and making ventures. Aiming to unravel a layered perception of home today, I juxtapose gauzy childhood memories where I play in the shade of the trees in my grandparents’ garden in Baghdad, with a recent encounter with Cooksville Creek, a landscape feature adjacent to my first Canadian home in Mississauga. \n \nStriving to resolve the paradox of home in the diaspora, Tracings, a four-piece textile series, explores the relationship between my recalling mind and my sensing body. In deterritorializing memories of a past home and sensations of a familiar landscape, in each season, and reterritorializing them into each work, I uncover fragments of home. Within each piece, as I unravel coloured thread on a mould of the rocks at the creek, I capture the forces of my encounter with a landscape that is physically accessible to me today. Simultaneously, as I lay down each layer of thread, I dwell upon the garden I played in as a child, a place I no longer experience, yet unceasingly retreat to in my mind. As I complete each piece, I peel away the mould of the landscape, leaving only the forces of my interaction with it behind, made visible through color. \n \nThroughout the process, I negotiate the contours of my home in the diaspora, as each piece becomes a temporal, open-ended map of its terrain. My aim, as I create the series, is not to merely represent my memories and the landscape, but to create works that evoke a sense of ambiguity and express the nagging feeling of “in-between”, caused by migration. The work, an intimate and personal endeavor, aspires to speak universally to migrants today, to anyone who ever had to leave home. \n \nIn addition, the thesis unfolds alongside an analysis of contemporary artists who, in their bodies of work, address issues of displacement and the search for home. Furthermore, the concepts that guide the research are distilled from the works of philosophers who, in their writing, focus on art and architecture’s affect on the beholder and the inhabitant as intrinsic arbitrators between humans and the cosmos. \n \nThroughout the thesis, I reflect on what home means to me and where home is today.

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)0.003
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 score0.076
Threshold uncertainty score0.151

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0140.026
Scholarly communication0.0070.007
Open science0.0010.006
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0050.000

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 head0.015
GPT teacher head0.233
Teacher spread0.218 · 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
Published2019
Admission routes1
Has abstractyes

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