Bibliographic record
Abstract
As part of the overall housing sector, renting has seen a considerable increase in the first 14 years of the twenty-first century. Numbers renting are now similar to those of the 1950s, when Ireland was a very different place economically and socially. Today renting is driven by forces ranging from necessity to choice to ongoing urbanisation: it is becoming the tenure of preference for many, while remaining the tenure for others with no choice. Governing legislation, providers of rental accommodation and the various rental sectors’ economic value and importance are all in flux. The traditional divide between state-supplied social housing and the private rented sector is blurring in the face of political preference for market-led solutions and for the voluntary and private sectors to be the main, if not sole, providers of rental accommodation in Ireland.\nRenting in Ireland brings together for the first time a range of housing experts and practitioners to discuss and analyse renting’s role in Irish society. It comprises sections on the private rented sector; the social rented sector; and other relevant issues including renting and minorities, legislation, space standards and the experience in Northern Ireland. It is hoped that Renting in Ireland will help to contextualise discussions on renting, inform debate, and provide insight into how renting affects society and ideas on where to go next for a sector that has never quite received the attention it deserves.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.021 | 0.004 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".