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Record W3163677723 · doi:10.60763/africarxiv/1255

The Uptake Of Wildlife Research In Botswana: A Study Of Productive Interactions

2021· dissertation· en· W3163677723 on OpenAlexfundno aff
Monica Sue Morrison

Bibliographic record

VenueFigshare · 2021
Typedissertation
Languageen
FieldEnvironmental Science
TopicWildlife Ecology and Conservation
Canadian institutionsnot available
FundersDirektoratet for UtviklingssamarbeidMinistry of EnvironmentNational Research FoundationEuropean CommissionUnited States Agency for International DevelopmentInternational Development Research CentreGlobal Environment FacilityUniversiteit StellenboschUnited Nations Development Programme
KeywordsWildlifeGeographyEnvironmental planningEnvironmental resource managementEnvironmental scienceEcologyBiology

Abstract

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Dissertation presented for the degree of Doctor of Philosophy in Science and Technology Studies in the Faculty of Arts and Social Sciences at Stellenbosch University.<br><br>This study set out to identify and understand whether research carried out in or about Botswana Botswana has been focused on producing useful and used work in the area of wildlife and related natural resources, with a view to improving the management of these resources. The study investigated this by examining the interactions of researchers and stakeholders engaged in the management, conservation, and use of wildlife resources in northern Botswana.<br>This work draws on the idea that broader societal impact of research can be estimated by following interactions of researchers with potential users of their research throughout the research process. This approach, based on the idea of productive interactions, acknowledges the difficulty of attributing the uptake, use, and impacts of research findings, and moves the focus of investigation from outcomes at the end point of investigation to all the stages and processes of research. Interactions of researchers with potential users of the research - its stakeholders - increase the likelihood of research findings being put to use. In the thesis, this process is viewed through the concept of an extended community of practice that demonstrates mutual engagement, joint enterprise, and shared repertoire.<br>The study used a mixed methods case study approach including literature review, surveys of principal investigators working under Government of Botswana permits and audience members of a public outreach event, interviews, analysis of document content and bibliographic records, and ad hoc participant observation to establish patterns of interaction among researchers and stakeholders working in northern Botswana, and to investigate perceptions of research use.<br>The study found that the northern Botswana's research community of practice consists of a strong core of researchers based in academic institutions and Non-Governmental Organisations (NGOs) who interact with more loosely connected members of the private sector and several levels of government, and with local community members. Findings included that researchers who engage with non-academic stakeholders outside the inner core of this community of practice at early stages, and throughout the research process, are more likely to see their research applied. Their success also appears to be linked to their commitment to working longer-term in northern Botswana, which allows for more, and deeper, interactions with stakeholders.<br>Findings of this study point to validation of the concept of productive interactions in a local community of practice, with effects that extend beyond Botswana and southern Africa. While productive interactions are already taking place in this community, many of them brokered by NGOs, increased deliberate incorporation of the productive interactions approach into the practice of government managers, researchers, and the tourism private sector is likely to increase the relevance, awareness, and uptake of the resulting findings, and to build trust and understanding among research stakeholders.<br><br>Related resources:<br>- https://doi.org/10.6084/m9.figshare.14392991- https://doi.org/10.6084/m9.figshare.14392988- https://doi.org/10.6084/m9.figshare.14393177- https://doi.org/10.6084/m9.figshare.14393225<br><br><br>

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)0.000
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.854
Threshold uncertainty score0.985

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0300.000

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 head0.085
GPT teacher head0.361
Teacher spread0.276 · 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 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

Citations2
Published2021
Admission routes1
Has abstractyes

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