Historical consciousness and practical life a theory and methodology
Bibliographic record
Abstract
"Historical Consciousness and Practical Life introduces a novel approach to examining how everyday people construct and employ historical knowledge in their daily lives. In viewing history as an embodied cultural practice that constitutes the background to our meaning making, the book demonstrates how researchers and others can investigate the ways in which people make sense of time’s flow in their now-moment engagements with the world and use that information to position themselves regarding key social problems with historical roots. The book provides a glimpse at how humans enter historically embedded thinking problems, seeking to resolve them. Paul Zanazanian draws on a study of the community leaders of English-speaking Quebec to illustrate the practical life methodology’s workings. In looking at their different uses of history for strengthening their group’s vitality in the province, he identifies five key stances they employ for positioning their sense of purpose and responsibility for securing English-speaking Quebec’s future. Ultimately, Historical Consciousness and Practical Life argues that community leaders who complicate and problematize their uses of history are the best positioned to make positive transformations for their group."--
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 | 0.006 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.008 | 0.056 |
| Scholarly communication | 0.011 | 0.008 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".