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Record W3087166589 · doi:10.22329/wyaj.v36i0.6421

Navigating Power and Claiming Justice: Tenant Experiences at Saskatchewan’s Housing Law Tribunal

2020· article· en· W3087166589 on OpenAlexafffundvenueabout
Sarah Bühler, Rachel Tang

Bibliographic record

VenueWindsor Yearbook of Access to Justice · 2020
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHousing, Finance, and Neoliberalism
Canadian institutionsUniversity of Saskatchewan
FundersLaw Foundation of Saskatchewan
KeywordsTribunalLandlordEconomic JusticeInequalityPower (physics)Face (sociological concept)SociologyLawRepresentation (politics)BusinessPolitical scienceLaw and economicsPublic administrationPoliticsSocial science

Abstract

fetched live from OpenAlex

This article discusses a qualitative interview project where twenty tenants shared their experiences about having hearings at the Office of Residential Tenancies [the ORT], Saskatchewan’s housing law tribunal. The interviews provide insights into housing problems faced by tenants, their experiences with self-representation at the ORT, and their reflections about the outcomes of their cases. We analyze how tenants prepared for their hearings, their experiences of the hearing process, and their perceptions of fairness throughout the process. We then discuss participants’ assessments of whether they received “justice” at the ORT. The interviews illuminate the ways that the same patterns of power and inequality that produce housing problems in the first place persist but are also occasionally interrupted and exposed in the housing tribunal process. They show also that tenants use the ORT to make important claims about justice and to resist landlord power in the face of larger patterns of inequality and exploitation.

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)0.007
metaresearch head score (Gemma)0.008
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 score0.718
Threshold uncertainty score0.561

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.008
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0340.019
Scholarly communication0.0070.004
Open science0.0020.010
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0060.001

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 head0.046
GPT teacher head0.280
Teacher spread0.234 · 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

Citations1
Published2020
Admission routes4
Has abstractyes

Explore more

Same venueWindsor Yearbook of Access to JusticeSame topicHousing, Finance, and NeoliberalismFrench-language works237,207