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Record W2920141119 · doi:10.1080/14036096.2019.1584586

Young Adults’ Perceptions of Life-Course Scripts and Housing Transitions: An Exploratory Study in Edmonton, Alberta

2019· article· en· W2920141119 on OpenAlexafffundabout
Meryn Severson, Damian Collins

Bibliographic record

VenueHousing Theory and Society · 2019
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHousing, Finance, and Neoliberalism
Canadian institutionsUniversity of Alberta
FundersUniversity of Alberta
KeywordsLife course approachNormativeFeelingYoung adultPerceptionPerspective (graphical)Scripting languagePsychologyExploratory researchFocus groupSociologySocial psychologyDevelopmental psychologyPolitical scienceSocial science

Abstract

fetched live from OpenAlex

Today’s young adults enter a housing market substantively different from that of their parents, within a life-course path that is also profoundly changed. However, relatively little research considers how life-course and housing norms are perceived by young adults themselves, including in contexts where these norms are difficult to fulfil, such as Canada. We address this gap from the perspective of young adults in Edmonton, Alberta, drawing on focus groups conducted in 2017. Participants perceived that the transition to adulthood is changing as the housing market is becoming increasingly inaccessible, although homeownership remained an expectation. They recognized that normative life-course scripts had not yet changed to reflect new realities for young adults, producing feelings of in-between-ness. Our findings illustrate how housing provides a critical lens to explore this disjuncture between life-course scripts and life-course realities, as it is fundamentally implicated in both.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.267
Threshold uncertainty score0.920

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.018
GPT teacher head0.226
Teacher spread0.209 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations10
Published2019
Admission routes3
Has abstractyes

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