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Record W7033564023

Right to the Future

2017· article· en· W7033564023 on OpenAlexaboutno aff

Bibliographic record

VenueNova Science Publishers (Nova Science Publishers, Inc.) · 2017
Typearticle
Languageen
FieldArts and Humanities
TopicEcocriticism and Environmental Literature
Canadian institutionsnot available
Fundersnot available
KeywordsNucleofectionTSG101Articular cartilage damageHyporeflexiaGestational periodLiquation
DOInot available

Abstract

fetched live from OpenAlex

Dalla fine della seconda guerra mondiale, le città hanno affrontato un rapido e incontrollabile sviluppo e pur coprendo, oggi, appena il 2% della superficie del pianeta, sono l’habitat per più del 50% degli abitanti della Terra, consumano oltre l’80% delle risorse disponibili ed emettono più del 70% delle sostanze inquinanti. È nel 1976 che l’assemblea generale delle Nazioni Unite indice la prima conferenza per gli insediamenti umani (human settlements) a Vancouver, riconoscendo l’impatto devastante che le condizioni degli insediamenti abitativi hanno sullo sviluppo sociale ed economico, sull’uomo e sull’ecologia urbana. Questa conferenza, oggi conosciuta come Habitat I, avvia un processo di ricerca da parte delle istituzioni e dei governi per la formulazione di linee guida che le nazioni di tutto il mondo dovrebbero seguire per garantire condizioni abitative ed urbane dignitose. Il contributo descrive le sfide principali affrontate dall'agenzia UN-HABITAT negli anni e le sintesi portate nei documenti programmatici nati dalle tre conferenze mondiali Habitat I (1976), Habitat II (1996) e Habitat III (2016). Inoltre affronta gli obiettivi dell'Urban Thinkers Campus - Right to the Future - di Palermo.

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 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)0.006
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.867
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0130.018
Scholarly communication0.1130.075
Open science0.0140.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0080.001

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.

Opus teacher head0.027
GPT teacher head0.260
Teacher spread0.233 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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
Published2017
Admission routes1
Has abstractyes

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