Cultivating historical consciousness in the history classroom: Uncovering the subtleties of student meaning making with the help of found poetry
Bibliographic record
Abstract
This article explores student meaning making in a Grade 11 US history unit on the Second World War. The 10-lesson unit was designed as an experiment that aimed to apply an instructional model of historical consciousness to a classroom context. Although the notion of historical consciousness has gained significant interest in the field of history education, translating it into educational practice remains a challenge. In this study, it refers to a disposition to make meaning of the past for oneself, which is manifested in three meaning-making abilities and processes (Boix Mansilla and Gardner, 2007; Nordgren and Johansson, 2015; Rüsen, 2004). To study the manifestation of historical consciousness in the learning process during this unit, I employed found poetry on collected classroom transcripts and observations, as well as student work. I turned to this qualitative, arts-informed method when I realised the analytic methods that I had employed so far failed to capture important subtleties of students’ historical consciousness emerging from the data. In this paper, I present and discuss the results of my analysis, offer a rationale for using found poetry in history education research and reflect on the need for relevant and meaningful school history.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.008 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".