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Record W6980938631

Den informella marknaden för hyresrättskontrakt i Sverige

2021· other· en· W6980938631 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.

Bibliographic record

VenueLund University Publications Student Papers (Lund University) · 2021
Typeother
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBioactive natural compounds
Canadian institutionsKootenay Association for Science & Technology
Fundersnot available
KeywordsLeasehold estateRentingNationalitySupply and demandMediationPayment
DOInot available

Abstract

fetched live from OpenAlex

Sweden has a significant rental sector with about a third of the total number of households rented out. The intention of the rental market should be that it is accessible to all people in society, regardless of nationality or income. The general mediation of rental apartments today is through a queuing system, which in Stockholm shows that a queuing time can be up to half one's life. The alternatives to obtaining a tenancy will thus be an informal market with free price formation, more specifically illegal trading of tenancy contracts through transactions on a black market. First- and second-hand contracts are transferred to a counterparty in an unlawful manner, exchange of apartments or subletting in second-hand. The supply of rental apartments does not meet the demand that exists in the market and as people see opportunities to make money from an illegal trade, criminal activity is spreading. The aim of this thesis is to examine the informal rental market, its extent and problems and how the existence of the black rental market can contribute to the creation of potential winners and losers. The categorization of who is meant by winner and loser in that sense, can thus be clarified according to what households' overall housing preferences are. Winners with today's system can, given that the transactions are voluntary, be those who are involved in the transactions and those who are given opportunity to fulfill their preferences in the market. Conversely, losers are not given the opportunity to fulfill their preferences. The question that must therefore be addressed is how to identify what possible inputs there are to fulfill their preferences by the existence of the black market. The thesis also intends to study when it is considered that the black market is fair through two moral-philosophical orientations on justice, egalitarianism and libertarianism. The interpretations of what is considered fair, moral or ethical in the Swedish rental market are quite different. To clearly understand the crime, the essay will present the typical actors and what the typical forms of trading in tenancy contracts are. It will be discussed whether there are alternatives for those actors who act compared to those who choose not to act, as the acceptance of acting unethically and breaking the law has grown. If there are to be fewer winners and losers, measures must be taken to reduce the illegal trade in tenancies.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.368
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.007
GPT teacher head0.216
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