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Record W7038322476

Headship rate projections for housing demand in Johor,
\nMalaysia

2019· other· en· W7038322476 on OpenAlexaboutno aff

Bibliographic record

VenueUTHM Institutional Repository (Universiti Tun Hussein Onn Malaysia) · 2019
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsCensusPopulationProjection (relational algebra)Population projectionQuarter (Canadian coin)Duration (music)Consumption (sociology)
DOInot available

Abstract

fetched live from OpenAlex

Household formation trend is closely linked with the numbers of population.
\nMeanwhile, the formation of households is largely influenced by the composition of the adult
\npopulation that are measured by headship rate. This paper attempts to project headship rate
\nwhich acts as a main predictor in determine potential housing demands. Population and
\nHousing Census data from year 2000 and 2010 has been used in this projection headship rate
\nfor Johor state. Modified two-point exponential method was applied to determine the headship
\nrate. All the data was categorized into five years interval for the ages between 15 to 80+ years
\nold. Results indicate that the projected headship rates for age 15-19 and 20-24 are significantly
\ndecreased. However for the age’s groups 40-44, 50-54, 55-59 75-79 and 80+ years old, the
\nprojected headship rate increased until year 2020. This demonstrates, the decreasing ability of
\nyoung people under 25 years to become homeownership as compared to people from the age
\ngroups of 40 years and above. The findings of this study could be used as a basis for the
\ngovernment to identify numbers of potential housing demand in Johor.

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 categoriesMeta-epidemiology (narrow), Research integrity, 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 score0.294
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.002
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.002
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.002

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 head0.020
GPT teacher head0.247
Teacher spread0.227 · 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.

Study designNot applicable
Domainnot available
GenreOther

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
Published2019
Admission routes1
Has abstractyes

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