Fertility and reproductive health decisions connected to climate change and adaptation in Greenland
Bibliographic record
Abstract
The capacity for Kalaallit, the Inuit people of Greenland, to adapt to the effects of climate change will depend on sociodemographic change, population distribution, and existing health inequities in the country. Reproduction in Greenland is influenced by connection to place and access to natural resources, factors that will vary with climate adaptation. Given existing fertility and reproductive health disparities among Kalaallit women, there is a compelling reason to explore how climate change effects and adaptation might influence fertility decisions and population dynamics in Greenland. Rooted in the principles of community based participatory research, this exploratory and comparative study investigated the social, environmental, and economic resources that affect fertility decisions for Kalaallit in Greenland. The research presented contextualizes drivers of fertility decisions within Greenland's climate adaptation policy options and presents strategies to guide health studies in Greenland with principles of community based participatory research. Interviews were conducted with 35 reproductive-aged (18-49 years) men and women and 26 interviews with policymakers and key stakeholders in two communities about climate adaptation, natural resources, economic development, and fertility and reproductive health. Interviews were analyzed using constructivist grounded theory in collaboration with a Kalaallit community research partner. Results indicate that improving community capacity to address existing housing, education, and economic inequities is critical to supporting fertility and reproductive health, irrespective of climate change impacts. Participants observed climate change effects and expressed positive attitudes about Kalaallit ability to adapt and capitalize on benefits of climate change. Evidence from this study indicates that addressing development disparities in Greenland may immediately support fertility and reproductive health for Kalaallit people and facilitate equitable climate adaptation.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| 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".