Friendship as a lifeline: Navigating the precarious landscape of the US employment‐based immigration as women of color psychologists
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
Drawing inspiration from the reflective and liberating practice of testimonio, we narrated our experiences as two women of color precariously employed psychologists with US employment visas. Shirley Ley recounted an experience of lost identity as a psychologist at a small liberal arts institution while Shaznin Daruwalla wove a narrative of tested endurance in her role as a staff psychologist in a medium-sized state-funded academic institution. Despite our diverse origins-Canada and India respectively-we shared the intricate link between our immigration status and employment. This connection tethered us to our professional roles and the organizations supporting our employment-based immigrant visas. Unlike US permanent residents or citizens, our difficulty in switching employers freely left us profoundly vulnerable. The gravity of employment termination was overwhelming, tantamount to relinquishing our rights to reside and work in the United States, affording us only a brief 60-day window to secure new sponsorship. Guided by our unwavering anti-oppressive ethos, we confronted institutional barriers head-on, a stance that often placed us in precarious situations. Our assertive challenges to the system not only risked termination of our jobs but also carried the threat of displacement, a persistent reality in our consciousness. Amid the backdrop of COVID-19's employment uncertainties, our friendship emerged as a steadfast anchor, offering the safety and stability we needed to persevere. Through this paper, we sought to demonstrate how supportive relationships and shared experiences among women of color can be a powerful tool for resilience, personal growth, and professional empowerment in the face of systemic challenges.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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 it