Accountability and the academy: producing knowledge about the human dimensions of climate change
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
Calls for accountability and ‘impactful’ research are fundamentally reshaping the academy, giving rise to a large, critical scholarship on neoliberal regimes of accountability and their pernicious effects. But these calls also animate other institutional forms and practices that have received less critical attention. These include new forms of science that promise accountability through interdisciplinarity, collaborating with stakeholders, and addressing real‐world problems. This article considers one example of such accountable science: human dimensions of climate change field research. This research endeavour has produced surprising results, including the uncritical adoption of controversial Euro‐American ideas about traditional Others. In exploring how this has come about, the article considers how theoretical and disciplinary diversity are managed within this arena, and the organizing logics that enable climate sciences and scientists to work together. We ultimately argue that accountable science – like other neoliberal modes of accountability – can produce outcomes for which no one can be held to account.
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 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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.006 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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