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Record W4411618124 · doi:10.51847/xc6qoyxzgb

10.51847/Xc6qOyXzgB

2000· article· en· W4411618124 on OpenAlex

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.

venuePublished in a venue whose home country is Canada.
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

VenueTime to knit · 2000
Typearticle
Languageen
FieldSocial Sciences
TopicUrban and Rural Development Challenges
Canadian institutionsnot available
Fundersnot available
KeywordsSettlement (finance)Intervention (counseling)GeographyPsychologyComputer scienceWorld Wide Web

Abstract

fetched live from OpenAlex

Suburbanization or as it is called today, informal settlement, is the consequence of rapid urbanization and transfer to socioeconomic paradigm of industrialization.Swift and unbalanced physical development of cities has been followed by undesirable economic, social and skeletal consequences.One of the effects and consequences of inharmonious urban physical development includes suburbanization and informal settlement.Nowadays, thousand million people of the world especially in developing countries live in unauthorized and disturb residences and under poor economic, social and environmental conditions.According to the report released by the UN, informal settlements (suburbanization) have been identified as the main challenge of the third millennium.On the whole, in the world one out of every six individuals lives in informal settlements.About 2 billion persons of the urban population of the world will live in such residences until the year 2030.In this research, first, the concept of informal settlement and different theories about the subject of research has been studied.Later, the corresponding problems with informal settlements and characteristics of these residences will be explained in detail.At the end, the approaches for intervention with informal settlements are studied from the beginning through the present time.The main goal of this research is to describe the respective problems with this type of residences and recognition of the intervention approaches.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.894
Threshold uncertainty score0.263

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.9950.986

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 head0.015
GPT teacher head0.219
Teacher spread0.204 · 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