Bibliographic record
Abstract
Making Sense of the Future integrates the latest thinking in Future Studies with the author’s expertise in world history, economics, interdisciplinary studies, knowledge organization, and political activism. The book takes a systems approach that recognizes the complexity of our world. It begins by suggesting a set of goals for human societies and identifying innovative strategies for achieving these goals that could gain broad support. Each chapter begins with a “How to” section that discusses how we can identify goals, strategies, trends, surprises, or implementation strategies and concludes with an integrative analysis that draws connections across the preceding discussions. Taking a cross-disciplinary approach, Szostak explores key trends and how these interact so that he can develop strategies to guide trends towards desirable futures. He discusses the ways in which we can best prepare for surprises such as epidemics and natural disasters, enabling us to react to them in beneficial ways. Supported by a list of guiding questions and suggestions for class projects, this is an accessible textbook for students of Future Studies and Future Studies courses.
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.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.946 | 0.856 |
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; both teacher heads agree on what is shown here.
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".