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Record W7062788469

Understanding Academic Prominence and Influence Through the Concept of Academic Charisma: The Voices of Canadian and Chinese Professors

2023· dissertation· en· W7062788469 on OpenAlexaboutno aff

Bibliographic record

VenueUVic’s Research and Learning Repository (University of Victoria) · 2023
Typedissertation
Languageen
FieldPhysics and Astronomy
TopicAdaptive optics and wavefront sensing
Canadian institutionsnot available
Fundersnot available
KeywordsCharismaReputationContext (archaeology)Promotion (chess)BureaucracyVariety (cybernetics)Learning development
DOInot available

Abstract

fetched live from OpenAlex

Academic ranks or professorial appointments are considered the primary form of formal recognition in the academic profession, and the criteria for appointment and promotion are used to make suggestions for career development (Teichleret al., 2013). However, academic ranks alone are insufficient to explain the fact that some academics are able to gain prominence over colleagues, lead the development of an academic field, or exert influence beyond that entailed in their formal positions. I believe the concept of academic charisma developed by Clark (2006), based on Weber’s (1947) idea of charismatic authority, can shed light on the explanation of variations in academic reputation and influence. In the context of academia, charismatic authority takes on a special form, conceptualized in this research as academic charisma. This study’s primary aim is to better understand why the prominence and level of influence exercised by professors vary beyond what can be accounted for by differences in formal academic recognition, such as academic ranks and research productivity. The study seeks to explore whether the concept of charismatic authority can work alongside the other forms of authority Weber identified—namely, traditional and bureaucratic authority—in explaining the observed variances of academic reputation and influence. The study will contribute to the existing literature in its area of research by examining and illustrating how the concept of academic charisma can be used to capture the working of academic prominence and influence in a variety of contexts. Using a qualitative research framework, drawing as well on elements of comparative research to reveal contextual influences, this research focused on the experience of 22 professors working in the engineering discipline at four universities: specifically, a World-Class University (WCU) in Canada, a non-World-Class University (non-WCU) in Canada, a WCU in China, and a non-WCU in China. The study shows that the concept of academic charisma can work alongside traditional and bureaucratic authority to explain the working of academic prominence and influence. Participants believed that social capital significantly contributes to academic prominence and influence. As social capital is closely connected to charismatic authority (Weber, 1947), it seems reasonable to contend that promoting social capital can effectively encourage academic charisma. Comparisons between WCU and non-WCU professors interviewed show that prestigious university status contributes to personal prominence and influence by amplifying the social capital of WCU professors. Similarly, comparisons between interviewed professors working in the higher education systems of Canada and China show that, although the routinization of academic charisma provides insights into contexts determined variations- professors interviewed in Canada rely primarily on traditional authority to routinize their prominence and influence, while professors interviewed in China rely primarily on bureaucratic authority. The concept of academic charisma serves useful analytical purposes: it helps us understand the divergent paths of academic career development, as well as the strategies used by professors in establishing and maintaining their prominence and influence. Moreover, the concept of academic charisma can extend to the interpretation of the shaping and reshaping of institutions and entire systems of higher education, since these processes are very often affected by the influence—and sometimes the direct personal intervention—of prominent professors.

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)0.006
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Incentives · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.994
Threshold uncertainty score0.300

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.006
Science and technology studies0.0170.010
Scholarly communication0.0080.004
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.060
GPT teacher head0.312
Teacher spread0.252 · 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.

Study designQualitative
DomainIncentives
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

Citations0
Published2023
Admission routes1
Has abstractyes

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