Incommensurability in Cross-Disciplinary Research: A Call for Cultural Negotiation
Bibliographic record
Abstract
What happens when a clinical psychologist, a grounded theorist, an ethnographer, and a phenomenologist meet to collaborate on an interdisciplinary grant proposal on childhood loneliness? Excerpts of an imaginary dialogue reveal how different disciplines can be thought of as different “cultures,” because each has its own way of doing things, deeply embedded assumptions about knowledge and the construction/representation of reality, and different specialized languages. Some of these differences might be incommensurable and call for cultural negotiation if a coherent approach is to be adopted. Cultural negotiation helps to make differences more accessible and understandable rather than creating inflexible or polarized ideological camps. This process might help methodologists think about researching across disciplines in new and more effective ways.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.752 | 0.724 |
| Meta-epidemiology (narrow) | 0.002 | 0.005 |
| Meta-epidemiology (broad) | 0.006 | 0.004 |
| Bibliometrics | 0.015 | 0.009 |
| Science and technology studies | 0.043 | 0.241 |
| Scholarly communication | 0.056 | 0.090 |
| Open science | 0.019 | 0.090 |
| Research integrity | 0.021 | 0.036 |
| Insufficient payload (model declined to judge) | 0.004 | 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".