Bibliographic record
Abstract
"On the Monday morning that the school opened, it was anything but lonely! The schoolyard was full of children. I looked at the bell on my desk and thought "This bell is mine to ring! I am the teacher!" At nine o'clock I grasped the bell firmly by the handle, leaned out the door, and rang loud and clear. Twenty-seven children rushed in through the door.…" So began the teaching career of Edith Smith Van Kleek. The Way It Was :Vignettes from My One-Room Schools chronicles Van Kleek's experiences as a student and teacher in one-room schools in rural Alberta. From her first year attending school in the High Prairie country in 1916 to the closure of her last rural schoolhouse in 1961, Edith Van Kleek recalls a bygone era in Canadian educational history. Her personal recollections paint a vivid picture of the challenges she faced, from juggling students from grades one through nine in one small room to extreme weather conditions and boarding with local families. But through it all, her determination, enthusiasm, and love for her students is unmistakable. Whether you remember one-room schoolhouses or just enjoy hearing about "the way it was," this charming collection of stories is sure to delight.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.022 | 0.024 |
| Scholarly communication | 0.013 | 0.007 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.009 |
| Insufficient payload (model declined to judge) | 0.020 | 0.006 |
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".