MétaCan
Menu
Back to cohort

The Economic and Social Changes Faced by People with Special Needs Arising from Poverty in the South Region of the Hashemite Kingdom of Jordan

2012· article· en· W1955474230 on OpenAlexvenueno aff
Naim Salameh Al-Qadi, Ayman Awad Gharib

Bibliographic record

VenueCanadian social science · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicUrban and Rural Development Challenges
Canadian institutionsnot available
Fundersnot available
KeywordsPovertySample (material)Disabled peopleBasic needsObstacleEconomic growthPopulationSocioeconomicsPoverty levelDevelopment economicsPolitical scienceSociologyEconomicsDemographyLife style

Abstract

fetched live from OpenAlex

This study was designed to tackle the issue of economic and social problems resulting from poverty of the disabled in our Jordanian society and specifically in the southern and eastern region of Jordan, The importance of the study springs from the humanitarian, developmental, social, economic and religious aspects, where of poverty and the problems associated with stand an obstacle to disabled people in the southern region in Jordan that hinders achieving their family, social and economic duties. The study sample consisted of (300) disabled of the study population in the Southern region, and the personal interview was used in the study approach as it is appropriate to the nature of the study. The researchers concluded that the impact of structural elements on the study sample is stronger than the individual and fatal factors. This is consistent with the findings of previous studies taking into account the difference in the environment and the degree of growth of the community where the study sample lives. Key words: People with special needs; Poverty

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.048
Threshold uncertainty score0.096

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.001
Scholarly communication0.0010.001
Open science0.0000.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.025
GPT teacher head0.231
Teacher spread0.206 · 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 designObservational
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

Citations1
Published2012
Admission routes1
Has abstractyes

Explore more

Same venueCanadian social scienceSame topicUrban and Rural Development ChallengesFrench-language works237,207