Public Intellectualism and the Impact Agenda: International Perspectives
Bibliographic record
Abstract
Previous chapters have offered a critical review of the research impact agenda, situating it within international efforts to improve research utilisation for key groups including academics, research funders, ‘knowledge brokers’ and research users. This chapter considers where public intellectualism rests within these concerns. Specifically, the chapter explores the multiple public spheres that make up space between the academy and politics by focusing on: (i) three established academics working within the social sciences who engage outwardly in ways that might be described as ‘public intellectualism’; and (ii) three established academics who work closely with external policy audiences on a range of recognised public policy ‘problems’, who we refer to as ‘academic interlocutors’. These in-depth interview accounts from leading academics working in Australia, Canada, the USA and the UK allow us to continue the work of Chapter 5 in exploring the kinds of externally facing practices that are facilitated through the UK’s approach to impact, compared to the kinds of practices being supported in other contexts with an established interest in knowledge exchange and research utilisation. Since the literature on public intellectualism is distinct from much of the literature on which this book has drawn so far, this chapter begins by briefly reviewing some of the key contributions to this literature. This allows us to situate the analysis in this chapter within these broader discussions, including by considering the elementary question of whether (and if so, how) notions of public intellectualism and impact are perceived to be complementary. The international perspectives included in the data in this chapter allow us to reflect on how developments in the UK are perceived by externally engaged academics elsewhere. Which public and what intellectual? In the opening sentence of his seminal essay on the relationship between social scientific inquiry and political positioning, the late Howard Becker maintained that researchers will routinely ‘find themselves caught in a crossfire. Some urge them not to take sides, to be neutral and do research that is technically correct and value free. Others tell them their work is shallow and useless if it does not express a deep commitment to a value position’ (Becker, 1967: 239).
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How this classification was reachedexpand
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 | 0.001 | 0.004 |
| 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 | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.073 | 0.001 |
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 itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".