Home Pages: Domesticity and Duplicity in Images of Architecture for Ageing*
Bibliographic record
Abstract
This paper explores images of long-term care institutions on contemporary websites as contexts for understanding age as "a sweep of delimited time."In particular, it considers how and why good institutions are described as inviting, cozy, intimate, and above all home-like, while other facilities are criticized for being exactly the opposite: uncomfortable, unhome-like and above all, "institutional."By studying the imagery and architecture of longterm care we illuminate important tensions between representations and place; and between home and institution.We explain how an emphasis on homelike décor camouflages the functioning of highly complex and highly regulated institutions.Cet article prend pour point de départ des images d'établissements de soins de longue durée, diffusées sur des sites web récents, afin de mettre en évidence l'âge en tant que « période définie ».En particulier, nous examinons comment et pourquoi les établissements de soins de longue durée sont jugés satisfaisants lorsqu'ils sont dits accueillants, intimes et domestiques.À l'inverse, d'autres établissements sont critiqués en raison de leur caractère institutionnel.En étudiant l'imagerie et l'architecture des établissements de soins de longue
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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 | 0.008 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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.
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".