Tömeges lakásépítés a világ különböző tájain : merre tartunk? : egy kiállítás tanulságai = Worldwide mass housing, where are we headed
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.
Bibliographic record
Abstract
Világszerte növekvő szükséglet jelentkezik városi lakásokra, különösképpen a városközpontokban. A sürgető igény okozta verseny közepette a beruházók, tervezők sok igen fontos tényezőt figyelmen kívül hagynak, így a közösség, az identitás és az élhetőség kérdését. Bár a világ egyes tájain a nagyvárosok különböző problémákkal szembesülnek, egy kérdés mégis összeköti őket: hogyan lehetne élhetőbbé tenni a városi lakásokat? Hogyan járulhat hozzá a lakások kialakítása a lakók jóllétéhez és életminőségének javulásához? | Summarizing the "Reconceptualizing Urban Housing" exhibition at the 2023 Venice Architecture Biennale, which showcased projects architecture studios, all led by women, addressing the growing global need for urban housing and livability. Despite diverse geographical and cultural contexts (including Uganda, UK, Canada, Malaysia, Mexico, France, Netherlands, Germany, and USA), the featured projects shared a commitment to social and environmental sustainability, exploring approaches to community, identity, and well-being in mass housing. Key themes included contextual sensitivity, the use of local materials and labor, the revitalization of inner cities, the creation of vibrant residential communities, and the balance between private and communal spaces, highlighting a shared ethos in contemporary housing design despite varied local conditions.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.007 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.000 | 0.003 |
| Open science | 0.007 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 it