The highly stigmatizing and taboo nature of suicidal thought and behavior (STB) makes it especially prone to censorship across modern communication platforms, ultimately impacting breadth of phenomenological detection. Applying ideation-to-action models of suicide to uniquely naturalistic data sources may serve to deepen understanding of digital STB expression. STB written communication across N=839 posts on the pro-choice suicide forum, Sanctioned Suicide, was qualitatively coded through development of a 20-item inventory based on the Integrated Motivational-Volitional (IMV) model. Reliable items were modeled using network analysis techniques to highlight patterns in post content. Coping strain-related stressors and feelings of defeat/entrapment most frequently characterized posts. Recapitulating the IMV framework, network modeling implicated defeat/entrapment as the most central node among items. Further analysis of the estimated network structure highlighted three primary themes of STB expression: contexts of powerlessness, trauma-mediated alienation, and crowdsourced preparation. This research offered an analytical foray into the expression of unmitigated STB. Findings aligned with documented associations in the literature, establishing a baseline summary of STB content within a marginalized, at-risk community. Future work should focus on modeling detailed semantic and social engagement data within this extraordinary microcosm to further explore, describe, and develop digital profiles of STB risk.