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Record W3164893647

Quarter 2 2019 progress report on the national student accommodation strategy

2020· article· en· W3164893647 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Issues and Policies
Canadian institutionsnot available
Fundersnot available
KeywordsAccommodationPillarRentingAction planQuarter (Canadian coin)Public administrationEconomic growthPolitical scienceManagementEconomicsEngineeringLawPsychologyGeography
DOInot available

Abstract

fetched live from OpenAlex

Rebuilding Ireland: Action Plan for Housing and Homelessness was published in July 2016 and laid out an action oriented approach to addressing the national accommodation crisis. Pillar four of Rebuilding Ireland focussed on the supply of rented accommodation. Actions included the implementation of affordable renting initiatives as well as encouraging build-to-rent developments to enhance the supply of student accommodation (among others). The inclusion of student accommodation was designed to both increase the supply of housing to students and to reduce dependency on the traditional rental sector. The National Student Accommodation Strategy was launched in July 2017 by Minister of State for Higher Education Mary Mitchell O’Connor T.D. and Minster of State for Housing and Urban Development Damien English T.D.. It was designed to further support the development of purpose built student accommodation. Rebuilding Ireland: Action Plan for Housing and Homelessness set a target of 7,000 additional purpose built student accommodation bed spaces to be delivered by end 2019 and 21,000 by 2024. This report represents a progress update as of end Q3, 2019.

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)0.008
metaresearch head score (Gemma)0.012
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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.122
Threshold uncertainty score0.243

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.012
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0020.001
Scholarly communication0.0090.005
Open science0.0030.005
Research integrity0.0060.006
Insufficient payload (model declined to judge)0.0670.065

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 head0.101
GPT teacher head0.436
Teacher spread0.334 · 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
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
Published2020
Admission routes1
Has abstractyes

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