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Record W3134132637 · doi:10.5539/jsd.v14n2p111

Political Environment and Biosocial Projects Performance in Informal Settlements in Nairobi County, Kenya

2021· article· en· W3134132637 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

VenueJournal of Sustainable Development · 2021
Typearticle
Languageen
FieldDecision Sciences
TopicOperations Management Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsBiosocial theoryData collectionDescriptive statisticsSample (material)Multivariate analysis of varianceQualitative propertySociologyApplied psychologyPsychologyStatisticsSocial scienceSocial psychologyMathematics

Abstract

fetched live from OpenAlex

This research study strived to find out the influence of Political Environment on biosocial projects performance in informal settlements in the county of Nairobi. The extent to which political environment influence biosocial project performance. Biosocial projects are projects working with people with disabilities. Two theories, Theory of Constraint and diffusion were used in this field of study to support predictive and outcome variable respectively. Pragmatism paradigm and mixed research were adopted in this study projects. Quantitative data was collected through structured self-administered questionnaires while qualitative data was collected through interview guides. Collection of data was preceded by testing for validity of research instruments through reliability and content related method through test-retest criterion. In Nairobi County, a sample size of 183 individuals from 61 biosocial projects were selected from a target sample of 70 biosocial projects. Questionnaires were used to collect quantitative data from 61 beneficiaries of the biosocial projects and 61 staff members directly working for biosocial projects in the County of Nairobi. In- depth qualitative interviews with 61 state and non-state actors through purposive sampling technique were executed. Arithmetic mean and the standard deviation were the statistical tools of analysis that were used for descriptive data, whereas Stepwise Regression (R2) and Pearson’s Product Moment Correlation (r) were the statistical tools of analysis that were used for inferential statistics whereas F-tests were executed to test hypothesis. To avoid statistical analysis invalidation, statistical assumptions tests were executed before analysis of data. Null hypothesis after analysis of data analysis was rejected at r = 0.313, F = 8.988, p = 0.004<0.01. Conclusively, constitution of Kenya 2010 and the Persons with Disabilities Act, 2003 were some of the key legal legislation that were pointed out to be championing success of biosocial projects performance that champion for the rights of persons with disabilities.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.111
Threshold uncertainty score0.462

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.029
GPT teacher head0.304
Teacher spread0.275 · 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