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Record W3112470343 · doi:10.1177/1946756720976710

What Will a PhD Look Like in the Future? Perspectives on Emerging Trends in Sustainability Doctoral Programs in a Time of Disruption

2020· article· en· W3112470343 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueWorld Futures Review · 2020
Typearticle
Languageen
FieldDecision Sciences
TopicInterdisciplinary Research and Collaboration
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsTransdisciplinarityDisciplineContext (archaeology)ScholarshipSustainabilitySociologyEngineering ethicsPublic relationsHigher educationPolitical scienceSocial scienceEngineering

Abstract

fetched live from OpenAlex

In this perspective paper, we aim to provide insights that can help academic institutions and transdisciplinary doctoral programs position themselves within a changing research landscape and prepare for future disruption. We are a group of eight first-year, transdisciplinary doctoral students at the University of Waterloo, representing diverse disciplinary perspectives and gender and cultural experiences. In the process of orienting ourselves as sustainability researchers, we conducted collaborative workshops to critically examine our intellectual and disciplinary positionality by reflecting on the question: What will a PhD look like in the future? Amid this process, the coronavirus pandemic happened, causing a major disruption to our research activity and personal lives. What began as a reflective process on doctoral research shifted toward a more substantive and far reaching discussion about disruption and academia. Through our workshops we identified four emerging trends in the domain of sustainability scholarship that are shaping the future of the academic experience: shifts from disciplinarity to transdisciplinarity; researchers as knowledge holders to knowledge brokers; researcher competencies as bounded to boundary-less; and metrics of success as citation impact to societal impact. We also identified three broad trends in the context of academia that were accelerated by the coronavirus pandemic and may be exacerbated by future disruptions: (1) increasing virtualization of research and teaching; (2) increasing need for flexibility of academic structures and processes; and (3) growing economic and socio-political uncertainty. We offer concrete recommendations that encourage doctoral students and programs to play a more fundamental role in solving complex challenges in a disrupted academic and social landscape. We conclude with our vision of the PhD student of the future as one who thrives in transdisciplinary settings, links society and science through knowledge brokering, spans boundaries between multiple epistemologies to communicate and collaborate through uncertainty, and prioritizes societal impact.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.871
Threshold uncertainty score0.452

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.007
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.075
GPT teacher head0.417
Teacher spread0.343 · 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