Geography and Genealogy: Locating Personal Pasts
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
Contents: Locating personal pasts: an introduction, Jeanne Kay Guelke and Dallen J. Timothy Part I Tools, Sources, and Implications for Geography and Family History: The unfolding tale of using maps in genealogical research, Melinda Kashuba Genealogy, historical geography, and GIS: parcel mapping, information synergies, and collaborative opportunities, Mary B. Ruvane and G. Rebecca Dobbs A genealogy of environmental impact assessment, William Hunter Knitting the Transatlantic bond: one woman's letters to America, 1860a 1910, Penny L. Richards Remaking time and space: the internet, digital archives and genealogy, Kevin Meethan. Part II Genealogy as a Cultural Practice: Genealogical mobility: tourism and the search for a personal past, Dallen J. Timothy Genealogy as religious ritual: the doctrine and practice of family history in the Church of Jesus Christ of Latter-Day Saints, Samuel M. Otterstrom Genetics, genealogy and geography, David C. Mountain and Jeanne Kay Guelke Conclusion: personal perspectives, Dallen J. Timothy and Jeanne Kay Guelke Index.
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 | 0.000 |
| Science and technology studies | 0.000 | 0.020 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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