Resourcing Agency for Sustained Collective Action Amid Creeping Crises
Bibliographic record
Abstract
In the wake of the Beirut blast, we use Lebanon as an empirical context to examine how a group of scholar-activists organized to support ongoing collective action in the context of creeping crisis. Using the lens of resourcing theory, we provide a process model of resourcing agency as a fractal and embodied form of critical action, augmented and transformed by critical reflection, and collective healing and striving. We make four contributions. First, we demonstrate why organizational scholarship needs to attend to the increasing relevance of creeping crises and we model an approach to understanding both the lived experience of creeping crises and the implications for the situated cultivation of agency. Second, we extend resourcing theory by uncovering resourcing agency as an integral, embodied process in the context of crisis, particularly creeping crises, and show how it is itself a vital instantiation of agency. Third, further extending resourcing and process theories, we identify two types of ampliative cycles (sustaining and transformative cycles) implicated in resourcing agency when organizing in support of collective action amid creeping crises. Finally, our findings demonstrate the benefits of using a processual approach that attends to the embodied and fractal nature of action in creeping crises and other extreme contexts. We close with a discussion of the implications for engaged scholarship as a framework for action.
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 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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".