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Public housing from within: childhood memories as a landscape of care

2024· article· en· W4410481362 on OpenAlexaff
Chloé Darmon

Bibliographic record

VenueSophia · 2024
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHousing, Finance, and Neoliberalism
Canadian institutionsCentre Intégré de Santé et Services Sociaux de Chaudière-Appalache
Fundersnot available
KeywordsPhilosophy of religionSociologyAestheticsPublic healthEnvironmental ethicsHistoryEpistemologyMedicinePhilosophyNursing

Abstract

fetched live from OpenAlex

This visual and auto-ethnographic essay – through research in private archives and childhood memories – aims to reconstruct the history of a public housing building on the Place du Marché in a small town in the Paris suburbs, Viry-Châtillon, and to show the transformation of the ideal of public and social housing in the suburbs of the capital. Through amateur and family photographs, we will examine the organisation, construction and transformation of this site at three key moments: the 1950s, the 2000s and the present day. This method of photographic analysis, which is also intended to be artistic, brings together the personal archives taken by my grandmother, the photographs taken by the author in 2004, and the photos taken by my grandmother again, in 2024, whom I asked, using a disposable camera, to take a portrait of the public housing building in which my flat was located and the urban context in which it is inserted. The result is a mixture of photographs taken in different temporalities and geographies that create a multifaceted portrait of public housing as a landscape of care based on childhood memories. Cover image: me and my parents on the balcony of our apartment (1997) author: my grandmother.

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.020
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.014
Scholarly communication0.0070.005
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.000

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.

Opus teacher head0.026
GPT teacher head0.212
Teacher spread0.187 · 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 designQualitative
Domainnot available
GenreEmpirical

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
Published2024
Admission routes1
Has abstractyes

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