Methodologically Becoming: Power, knowledge and team research
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
This article explores the path of methodological and epistemological negotiation travelled by a team of four geographers conducting research among people with transnational connections between northern New Jersey and El Salvador. Having illustrated that all data are contextual, feminist scholars have explored the power relations in which data collection is embedded in order to situate knowledge. The relationship between the dynamics of research teams and the broader political struggles with which they engage, however, remains a blind spot within feminist field methods and writing strategies deployed to 'see accountably'. The authors argue that there is an undertheorised relationship between the politics of academic research projects and the broader political movements with which they engage that may serve as a fertile intersection for feminist research. They explore relationships between team, field, and institutions in the context of negotiating difference among team members and their aspirations for the project. The article contributes to discussions of power, knowledge construction, and the politics of conducting fieldwork as a team by relaying experiences both from the perspective of individuals on the team and the team as a whole. The authors depict their objectives, successes, failures, and research politics; all part of a process of methodological becoming.
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 | 0.044 | 0.021 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| 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