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Record W7112487930

Doctorate Supervision in Virtual Borderland Spaces

2022· article· en· W7112487930 on OpenAlexaff

Bibliographic record

VenuePure (Coventry University) · 2022
Typearticle
Languageen
FieldHealth Professions
TopicDoctoral Education Challenges and Solutions
Canadian institutionsCentre for Global Health Research
Fundersnot available
KeywordsIndigenousEquity (law)ScrutinyTraditional knowledgeFocus groupHigher educationAppreciative inquiryTransformative learningDual purpose
DOInot available

Abstract

fetched live from OpenAlex

This round table will discuss the design, delivery and first year experiences of a transnational, structured dual award doctoral programme between Stellenbosch, Walter Sisulu and Coventry Universities. We will focus on the programme’s embedded mechanisms for training, development, and practice-sharing amongst the cohort of supervisors from across the three institutions. We will briefly share how an international cohort of doctoral candidates was recruited for the dual award programme in order to meet the funders’ profiling and equity targets and explain how the research programme itself is addressing complex challenges in contemporary higher education in South Africa and the UK. <br/><br/>The aim of the discussion is to centre our ideas around doctorate supervision of fellow academics in virtual Borderland spaces (Billot et al., 2021). The use of “border” not only referring to geo-political borders across our education landscapes, but also the territorial borders linked to research knowledge versus indigenous and societal knowledge (Le Grange, 2012; Mignolo &amp; Tlostanova, 2006). In these Borderland spaces, we will share the coming together of our diverse perspectives and in how “cultural, social, and epistemological change” is prompted / encouraged / taking place, as our knowledges and discourses are brought into “conversation” challenging and potentially reshaping the way, as programme partners/supervisors, we are thinking and acting (Moje et al., 2004:44). Further, being appreciative of the supervisory relationships within which we are involved, issues of power, gender and cultural differentials will be acknowledged in our discussion on how as ‘Border-dwellers’ our relational hierarchies, as programme participants (being territorial) are open to scrutiny (Mignolo &amp; Tlostanova, 2006). <br/><br/>Main points/issues: Significantly, we will discuss the virtual Borderland space within which we have all dwelt since the dual award programme began (Year 0 - September 2020). The virtual space itself having displaced us all, whilst also highlighting how the conditions and possibilities of Border thinking relate not least to having access to computers and the internet with acknowledgement of one another’s digital learning ecologies (Gomes &amp; Chang, 2021).<br/><br/>Presenters: 12 contributors drawn from all three participating universities with Dr Gerber as moderator.<br/><br/>Implications for the practice of supervision: We will promote discussion about how students and supervisors are collaborating culturally, institutionally, disciplinarily, and technologically, to foster a virtual Border-transcending supervision practice. <br/><br/>References<br/>Billot, J. et al. (2021) Borderlanders: Academic staff being and becoming doctoral students. Teaching in Higher Education, 26(3), 438-453.<br/>Gomes, C., &amp; Chang. S. (2021). Introduction. In (Eds.), S. Chang &amp; C. Gomes, Digital Experiences of International Students: Challenging Assumptions and Rethinking Engagement. (pp xx - xxix), London: Routledge Taylor and Frances.<br/>Le Grange, L., (2012). Ubuntu, ukama, environment and moral education. Journal of Moral Education, 41(3), 329 – 340.<br/>Mignolo, W. D., &amp; Tlostanova, M. V., (2006). Theorizing from the Borders. Shifting to geo- and body-politics of knowledge. European Journal of Social Theory, 9(2), 205-221. <br/>Moje, E. B. et al. (2004). Working toward third space in content area literacy: An examination of everyday funds of knowledge and discourse. Reading Research Quarterly, 39(1), 38 – 70. <br/><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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.844
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.099
GPT teacher head0.414
Teacher spread0.315 · 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 designNot applicable
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".

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Citations0
Published2022
Admission routes1
Has abstractyes

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