The Hanson Family Archives of Fort Myers, Florida
Bibliographic record
Abstract
The Hanson Family Archives of Fort Myers, Florida offers a comprehensive\noverview and select examination of a privately owned, family collection of historical\nartifacts, currently held by the Woody Hanson family of Fort Myers, Lee County,\nFlorida. This collection spans five generations, generally from the 1880s through today,\nwith subject matter being mostly Southwest Florida, its settlement, development, and the\neffects growth and modern progress had on South Florida Indians.\nThe Collection contains thousands of extremely high-quality, black & white\nphotographs, taken over a span of fifty years. The images cover every facet of regional\ngrowth, from waterways to architecture to national parks to birds to people. However, at\nleast half of the photos are of Native Indians in their natural environment, and only a\nsmall fraction have ever been publicly seen. They are original, and found only in the\nHanson Family Archives. These photos are a cultural treasure of immense importance.\nThis material offers a stunning array of scholarly research opportunities. Southwest\nFlorida is sorely lacking in historical records, memorabilia, and scholarship. One of the\ngoals of this paper is to reveal the presence of this awe-inspiring mass of records, letters,\nv\nwritings, and photographs, and to encourage other scholars to pursue mining the hidden\ntreasures lying within this great historical accumulation.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.004 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.307 | 0.048 |
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 source (direct Gemma or distilled Codex), 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".