Acknowledgments

We thank the researchers whose work we synthesize here, particularly those who have been willing to publicly engage with replication challenges, methodological critiques, and the hard questions about generalizability that the field is still working through. Science progresses through honest reckoning with its own limits, and this book is better for theirs.

This book was drafted with AI assistance and is published by DataField.Dev. It was not shaped by a panel of reviewers or by student focus groups, so we especially welcome the instructors and students who will tell us where it falls short. If you find an error, an overstated finding, or a framing that needs work, please send corrections and suggestions through datafield.dev/about.html.

Finally, we thank the readers — the students who will argue with these pages, who will bring their own experiences and identities to bear on the research, and who will leave with better questions than they arrived with. That's the goal.