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Record W7065392736

Documentation of indigenous methods of waste management in Chief Albert Luthuli Municipality, Republic of South Africa

2023· dissertation· en· W7065392736 on OpenAlexaboutno aff

Bibliographic record

VenueUnisa Institutional Repository (University of South Africa) · 2023
Typedissertation
Languageen
FieldEnvironmental Science
TopicMunicipal Solid Waste Management
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousTraditional knowledgeDocumentationDemographicsMetisRelation (database)SustainabilityTest (biology)
DOInot available

Abstract

fetched live from OpenAlex

There is an observed proliferation of studies around indigenous knowledge (IK). However, the definition of indigenous knowledge remains ambiguous from several studies. Some inconsistencies in what some international studies define as indigenous knowledge leave the IK concept fluid. To put the discourse on what IK is, the current study examined the priority elements that can be used to characterize knowledge as being indigenous or foreign to a defined community. In unravelling the discourse, the study examined the influence the demographics of Chief Albert Luthuli municipality on knowledge that is indigenous to this community. Results showed a link (nexus) between common spoken language, cultural, ritual practice, beliefs, and IK practices of communities in general. The study also showed the influence of economics such as employment, levels of education and household income on IK. The ultimate finding was that these variables proved association with the adoption of IK practice as means of survival as alternatives to lack of income or sustainable income in households. Indigenous methods emerge from language, culture, place, and customs. Indigenous methods were mostly practiced in developing countries, which included social, economic, and environmental activities practiced by the community for survival. Indigenous methods have been observed since time immemorial and have been effective in waste management within households in rural communities. Fewer studies were documented in relation to the waste management methods which were practiced indigenously by the communities in South Africa. Hence the study will explore the skills and practices acquired by the local community of Chief Albert Luthuli in relation to waste management. 398 respondents from the age 18 years and above participated in the study. Microsoft Excel and Statistical Package for Social Science (SPSS) were used for data capturing and analysis. Samples were collected in certain areas of the study area by means of simple random sampling technique. Mixed method which consisted of questionnaires was selected for the purpose of the study. Waste management has been a major challenge for the community that led to indiscriminate waste disposal, hence indigenous waste management should be revisited to curb the challenge. Categories of waste streams were identified during the study and methods how they were indigenously managed by the local community within the study area of Chief Albert Luthuli municipality were also identified. Furthermore, the lack of formal waste management systems in the rural areas of Chief Albert Luthuli have resulted in different indigenous systems and practices of solid waste management.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.215
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.024
GPT teacher head0.260
Teacher spread0.236 · 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 teacher head, not a consensus.

Study designQualitative
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
Published2023
Admission routes1
Has abstractyes

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