Theorizing Historical Consciousness
Bibliographic record
Abstract
* Peter Seixas: Introduction. I. Historiographies and Historical Consciousness. * Chris Lorenz, Professor of Philosophy and Medothology of History, Leiden University and Free University of Amsterdam. 'Towards A Theoretical Framework For Comparing Historiographies: Some Preliminary Considerations'* James Wertsch, Department of Education, Washington University, St. Louis. 'Specific Narratives and Schematic Narrative Templates'* Jorn Riisen, Institute for the Advanced Studies of the Humanitiies, Essex. 'What Is Historical Consciousness? A Theoretical Approach To Empirical Evidence'* Mark Phillips, Department of History, Universtiy of British Columbia. 'Historical Distance: An Introduction'* II. History Education and Historical Consciousness * Jocelyn Letourneau and Sabrina Moisan, Department of History, Laval University, Quebec. 'Young People's Assimilation of a Collective Historical Memory'* Peter Lee, University of London Institute of Education. 'Understanding History'* Christian Laville. 'Historical Consciousness and History Education: What To Expect from the First for the Second'* Roger Simon, Ontario Institute for Studies in Education, University of Toronto. 'The Pedagogical Insistence of Public Memory'* Kent den Heyer (ed.). 'A Dialogue on Narrative and Historical Consciousness'* III. The Politics of Memory and History Education * Tony Taylor, Faculty of Education, Monash University, Victoria, Australia. 'Disputed Territory: Some Political Contexts for the Development of Australian Historical Consciousness'* John Torpey, Departments of Sociology and History, University of British Columbia. 'The Pursuit of the Past: A Polemical Perspective'
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 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.004 | 0.019 |
| Scholarly communication | 0.004 | 0.011 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.011 | 0.002 |
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".