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Record W2810110258 · doi:10.1080/02673037.2018.1489527

Exploring housing careers among Ghanaians in Toronto, Canada

2018· article· en· W2810110258 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueHousing Studies · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Ethnicity, and Economy
Canadian institutionsTrent University
FundersUniversity of TorontoTrent University
KeywordsHomelandImmigrationLife course approachSociologyDemographic economicsEconomic growthPolitical scienceEconomicsLawPsychologySocial psychologyPolitics

Abstract

fetched live from OpenAlex

The argument that a successful housing career plays an important role in the immigrant integration process has been well established in the literature. Most studies on immigrant housing career do so without reference to the housing situation of immigrants in their homeland. Since housing career relates to sequence of dwellings people occupy throughout their life-course, an analysis of immigrants housing career should also begin with immigrants housing situation in the homeland. Unless we understand the sequence of dwellings that immigrants occupy throughout their life course in both the country of origin and host society, we will fail to fully comprehend dynamics of their housing career over their life-course. Using mixed method, this study illustrates the role of housing career in the integration process of Ghanaians in Toronto in the Canadian society. The study adds to the housing career literature by capturing the sequence of dwelling that immigrants occupy throughout their life course in both the country of origin and destination country.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.265
Threshold uncertainty score0.802

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
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 head0.118
GPT teacher head0.324
Teacher spread0.207 · 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