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Record W7045761041

BIGD Quarterly , October - December, 2017

2012· other· en· W7045761041 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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueBRAC University Institutional Repository (BRAC University) · 2012
Typeother
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
FundersUniversity of DhakaInternational Development Research CentreUniversity Grants CommissionInternational Growth CentreLondon School of Economics and Political ScienceUniversity of DelhiJadavpur UniversityOpen University MalaysiaUnited Nations Development ProgrammeUniversity of WashingtonUniversiti MalayaUniversity of BathUniversity of Illinois at Urbana-ChampaignMonash UniversityUniversity of ConnecticutHarvard UniversityNorth South UniversityIndian Statistical InstituteConcordia UniversityYale University
KeywordsEconomic rentCapital (architecture)Cost of livingCapital expenditureOrder (exchange)
DOInot available

Abstract

fetched live from OpenAlex

52 percent of the house rent is ixed by the landlords in the beginning and generally did undergo revisions from time to time.67 percent tenants experienced revision of initial rent compared to 33 percent of households that experienced 'no change' annually.Meanwhile, 50 percent of households said that their rent increased annually followed by approximately 25 percent of households reporting that their rents were the same for the irst two years and then increased annually.Excessive house rent is one of the foremost reasons for increased living costs in the capital as most of the dwellers have to pay the largest part of their monthly income for housing, a recent study has found.As a result, they are left with no other alternative but to reduce expenditure on essentials like food, clothing, education and entertainment in order to cope with the costs.These were some of the indings revealed at the press launching of a study on housing in Dhaka.

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 categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.171
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.1080.001

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 head0.010
GPT teacher head0.204
Teacher spread0.194 · 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