Bibliographic record
Abstract
The text and photographs are interspersed. For every red x within the text, there is a corresponding photograph. The photographs are numbered and they include: 1. Home of James A. Garfield, Mentor, Ohio 2. Niagara River 3. Niagara River from Canadian side 4. Power Generator above falls from Canadian side 5. Rough water above falls and power plant 6. Niagara River 7. Niagara Falls 8. Horseshoe Falls 9. Below the falls (Canada left, U.S.A. right) 10. Close-up of Horseshoe Falls from Canadian side 11-12. The whirlpool 13. Flower garden – School [of Horticulture] 14. Union Jack at Victoria Park [referred to here as Hydro-Electric Park] 15. Floral clock [referred to a musical clock, Hydro-Electric Park] 16. Brock statue, Queen Victoria Park [referred to here as Hydro- Electric Park] 17. Baseball Hall of Fame, Cooperstown, New York 18. Across Lake Otsego, Cooperstown, New York 19 Farmers’ Museum, Cooperstown, New York 20. View from Fenimore House, Cooperstown, New York 21. James Fenimore Cooper House, Cooperstown, New York 22-23. Capitol Building, Hartford, Connecticut 24. Grave of Sgt. Benjamin Case in old cemetery, Providence Rhode Island 25. Nathan Hale, patriot spy – Homestead near Hartford, Connecticut 26-28. Capitol Building, Providence, Rhode Island 29-30. Waterfront, New Bedford, Connecticut 31. Plymouth Rock with ocean in the background 32. Plymouth Rock Massachusetts – reconstructed dwelling 33. Ocean view from Plymouth Rock, Massachusetts 34. Pilgrim Hall, Plymouth Rock, Massachusetts 35. Daniel Webster grave between Plymouth and Boston, Massachusetts 36. Daniel Webster Family lot [plot] between Plymouth and Boston, Massachusetts 37. Paul Revere home, Boston, Massachusetts 38. Paul Revere home, Massachusetts [photos 37 and 38 show “our bus”] 39-40. Old Ironsides (Constitution), Boston Naval Yards 41. Concord English statue – before crossing the bridge 42. Looking across the bridge, Concord – American statue in background 43. Minute Man Statue, Concord, Massachusetts 44. Entrance to Wayside Inn, Sudbury, Massachusetts 45. Wayside Inn Chapel 46. Wayside Inn – old mill (100 years old & still in operation) 47. Harvard University Museum [lady in the picture referred to as Joe] 48. Longfellow’s home, Boston (Washington also lived here) 49-50. Nathaniel Hawthorne’s home (House of Seven Gables), Salem, Massachusetts 51. Nathaniel Hawthorne’s birthplace, Salem, Massachusetts [bumper of their car in photo referred to as “us”] 52. Newbury, Massachusetts – house built in 1725 53. New Hampshire coastline showing Atlantic Ocean 54. Rock bound coast of Maine 55. Maine’s Atlantic coastline 56. Entrance to the state capitol at Augusta, Maine 57. State capitol, Augusta, Maine 58. Atlantic Ocean – Maine coastline 59. Hills, river and road, Maine 60. Custom Station – crossing into Canada from Maine 61-62. Canadian scenery 63. Quebec, Canada 64. Chateau Frontenac, Quebec 65. Lower Quebec 66. Quebec Parliament Building 67. Italian ship at a port near Montreal 68. French ship near Montreal 69. Logs for the largest paper mill in the world, Three Rivers [Trois- Rivières], Canada 70. Montreal suburb 71. Hydro Electric Dam – Ottawa River 72. Canadian scenery Unnumbered. Chateau Frontenac, Quebec, Canada 73. Route 17 – King’s Highway 74. Webbwood, Ontario 75. Leaving Canada 76. Gate to cross on ferry from Sault Ste. Marie to Michigan 77. View of Sault Ste. Marie from ferry 78. View of U.S.A. from ferry 79. Lake Huron from ferry – St. Ignace, Michigan 80. From ferry – freighter and Mackinac Island
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.501 | 0.254 |
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".