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Record W2121490920

A socio-environmental history of water in the Karoo c.1762-2012, with specific focus on Prince Albert and Williston

2013· dissertation· en· W2121490920 on OpenAlexaboutno aff
Nina Krüger

Bibliographic record

VenueSUNScholar (Stellenbosch University) · 2013
Typedissertation
Languageen
FieldSocial Sciences
TopicSouth African History and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsFocus (optics)GeographyEnvironmental historyEnvironmental ethicsHistoryPhilosophyEconomic historyPhysics
DOInot available

Abstract

fetched live from OpenAlex

ENGLISH ABSTRACT: This study examines the history of water in two small Karoo towns. The main argument of the thesis is that the availability of and access to water has played influential roles in the development of Williston and Prince Albert. The ambitions of this thesis are three-fold: firstly, the approach is socio-environmental history and therefore it provides insight into the environmental as well as the social history of the resource in each region. It consciously reflects on the notion of power and explores the manner in which access to water was racialised by authorities in each town. Secondly, this thesis provides insight into the technological and legislative water supply and development of sanitation at both settlements, which is outlined in a broader national development to contextualise the local trajectories. Thirdly, through personal narratives it offers an ethnographic analysis of mind-sets such as fatalism and hopefulness in the face of extreme climatic conditions are examined. The experiences of the socially marginalised and underrepresented are intended to challenge the whiggish celebration of anthropogenic ascendancy over nature in the historiography.

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)0.000
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.267
Threshold uncertainty score0.532

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.005
Science and technology studies0.0050.005
Scholarly communication0.0020.002
Open science0.0000.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.000

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 head0.009
GPT teacher head0.183
Teacher spread0.174 · 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 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

Citations2
Published2013
Admission routes1
Has abstractno

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