In- <i>Conceivable Futures</i> : Climate Change and Reproductive Decision Making Among Childfree North Americans
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 paper engages in a content analysis of public testimonies available through the Conceivable Future project, a network of individuals from the United States and Canada who seek to bring awareness to the threat climate change poses to reproductive justice. How are these individuals navigating reproductive decision making amid the climate crisis? Specifically focusing on individuals who express that they are choosing not to have children, we explore how emotional experiences, family planning, and environmental concern collide within the Anthropocene. Analysis of testimonies revealed a number of themes. Most people struggled with ethical questions about what it means to be accountable to and responsible for future generations in a warming world. Their concerns were tied to visions of future climate apocalypse and, implicitly and explicitly, to recognition of their own privileges living in North America. Many encountered some form of stigma or social pressure from family, friends, and/or broader society about their choice to remain childfree, sentiments more strongly expressed by women. Ultimately, individuals forgoing having kids express motivations rooted in love and the hope that they can channel their energies into alternative forms of caregiving and/or activism.
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 | 0.000 | 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 | 0.001 | 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