MétaCan
Menu
Back to cohort
Record W2130380767 · doi:10.4000/rccs.4470

UN HABITAT, State of the World’s Cities 2010/2011: Cities for All, Bridging the Urban Divide

2010· article· pt· W2130380767 on OpenAlex
Juliano Geraldi

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueRevista crítica de ciências sociais/Revista crítica de ciências sociais · 2010
Typearticle
Languagept
FieldSocial Sciences
TopicUrban and Rural Development Challenges
Canadian institutionsnot available
Fundersnot available
KeywordsHuman settlementDignitySAFERGeographyState (computer science)HabitatPolitical scienceSociologyEcologyArchaeologyLawComputer science

Abstract

fetched live from OpenAlex

O United Nations Human Settlements Programme (UN‑HABITAT) foi criado em 1978, dois anos após da realização da Habitat Conference em Vancouver, Canadá. É uma agência da Organização das Nações Unidas para assentamentos humanos, que “helps the urban poor by transforming cities into safer, healthier, greener places with better opportunities where everyone can live in dignity” (UN‑HABITAT’s Brochure, 2009). Uma das suas principais publicações é State of the World’s Cities. Iniciada em 2001, a séri...

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 imitation

Not 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.

metaresearch head score (Codex)0.010
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.275
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.006
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0030.003
Bibliometrics0.0000.002
Science and technology studies0.0060.007
Scholarly communication0.0020.001
Open science0.0050.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0010.000

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 head0.039
GPT teacher head0.291
Teacher spread0.252 · 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