Bibliographic record
Abstract
Treasuring the past, savouring the present, and wanting to do right by the future, Archibald Lampman was a poet keenly focused on the workings of time. He was also a thinker of mystical predisposition. His goal was not to transcend time, but to find redemptive meaning within it. Archibald Lampman: Memory, Nature, Progress explores the ways in which Lampman pursued this goal in relation to the three faces of time. Memory fascinated Lampman. He relished the “alchemy” by which the dross of past experience could be left behind and the gold preserved. Nature compelled his mind and emotions, and his clear-eyed observations of both countryside and wilderness settings gave rise to a self-evolved poetics of inclusiveness. In his celebrations of nature in all its manifestations, mild or bleak, he anticipated the work of iconic Canadian painter Tom Thomson and he forecasted the environmentalism of our own time. Progress for Lampman spelled societal rectification. By forwarding the cause of social betterment, one was part of a movement larger than oneself, and this expansion, too, was redemptive. Archibald Lampman: Memory, Nature, Progress is the first book on this foundational figure in Canadian literature to appear in over twenty-five years and the first thematically focused study. Combining close analysis with biographical context, it shows how Lampman’s oeuvre was shaped by his responses to his physical surroundings and to his social-intellectual milieu, as filtered through his stubbornly independent outlook.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.002 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.178 | 0.067 |
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".