The OTTER framework: Willful ignorance as the greatest barrier to allyship at work and five steps to overcome it
Bibliographic record
Abstract
Despite growing equity, diversity, and inclusion (EDI) efforts in organizations, many socially advantaged individuals remain inactive as potential allies. To understand why, the present article introduces willful ignorance-the conscious avoidance of knowledge about inequality-as a core psychological barrier to allyship. Reviewing and synthesizing insights from existing research, we show how two forms of willful ignorance manifest at work (passively overlook among the "left" and actively turn away among the "right" on the ideological spectrum) and propose the OTTER framework to address them: Observe, Think, Talk, Examine, and Reorient. By illustrating how each intervention step disrupts willful ignorance among advantaged group members, we offer theoretical and practical guidance for advancing workplace EDI. This work further opens a pathway for future research on willful ignorance in allyship contexts.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 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".