Entre nostalgia e solastalgia: reflexões com Katharina Niemeyer
Bibliographic record
Abstract
The interview with German-Canadian researcher Katharina Niemeyer seeks to delve into her intellectual and affective journey across the fields of media theory, memory, and temporalities, with an emphasis on the relations between nostalgia, solastalgia, and co-creation. Reflecting on her academic and personal background, Niemeyer weaves together philosophical and affective knowledge to explore how media shape our ways of remembering, forgetting, and feeling. The conversation also addresses the Solastalgies Créatrices project, carried out in the Magdalen Islands (Canada), where Niemeyer investigated, in collaboration with Amandine Alessandra, Magali Uhl, Célia Forget and the local community, ways of narrating environmental and emotional losses through participatory memory practices. By distinguishing between nostalgia and solastalgia, the researcher advocates for attentive listening to collective affects and for the creation of memory spaces oriented toward the future.
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".