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Record W2916090380

Tenant Fees Bill: Good Intentions – Weak Protections

2018· article· fr· W2916090380 on OpenAlexaff
Samuel Beswick

Bibliographic record

VenueSSRN Electronic Journal · 2018
Typearticle
Languagefr
FieldSocial Sciences
TopicLegal principles and applications
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsLeasehold estateLandlordEnforcementPrincipal (computer security)BusinessAgency (philosophy)LawLaw and economicsEconomicsPolitical scienceComputer security
DOInot available

Abstract

fetched live from OpenAlex

The Tenant Fees Bill is set to be passed into law in England. The Bill does three things: it bans most tenant fees in the residential tenancy market; it improves protection of holding deposits paid by tenancy applicants; and it provides for public and private enforcement mechanisms. Regrettably, however, the Bill neglects basic principles of English contract and agency law. Instead, the drafting builds upon contemporary letting practices and seeks to correct its worst features. As a result, the Bill problematically permits letting agents to charge tenants certain fees for services that in law are provided to their principal: the landlord. It also regulates the treatment of holding deposits without addressing their nature in English common law. Finally, the Bill prescribes enforcement recourse to independent agencies and tribunals that are already overburdened and under-resourced. Despite these problems, the Bill improves on present letting law and will bring a welcome rebalancing of rights and obligations in the tenancy market.

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)0.014
metaresearch head score (Gemma)0.042
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.020
Threshold uncertainty score0.073

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.042
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0060.010
Scholarly communication0.0140.010
Open science0.0020.005
Research integrity0.0140.014
Insufficient payload (model declined to judge)0.0180.007

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 head0.019
GPT teacher head0.298
Teacher spread0.279 · 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 designNot applicable
Domainnot available
GenreCommentary

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
Published2018
Admission routes1
Has abstractyes

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