Constituting the Academic Performer: The Spectre of Superficiality and Stagnation in Academia
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.
Bibliographic record
Abstract
Journal rankings and performance measurement schemes tend to become increasingly influential within many fields of research, thereby consolidating the prevalence of performativity on the life and research endeavours of many academics. The latter are nowadays often pressured to publish in ‘top’ journals to ensure they have a displayable level of performance. Drawing from literature on identity, this paper introduces and details the construction of the academic performer – a representation of identity which is increasingly typical of what it means today to be an actor in academia, in terms of attitudes and behaviour. Fundamentally speaking, this paper constitutes a critique of a detrimental tendency in academia, that is to say the excessive spread of performance measurement practices and the flow of superficiality and conformity they consolidate.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it