Bibliographic record
Abstract
Published in May of 2012, PhaenEx 7.1.coincides with the tenth annual conference of the journal's association home, The Society for Existential and Phenomenological Theory and Culture (EPTC)/Théorie et culture existentialistes et phénoménologiques (TCEP).To commemorate EPTC/TCEP's decade of fresh and exciting intellectual activity, PhaenEx 7.1.is an extended open issue, containing eleven articles and five Book Encounters, including work by both notable and new scholars as is our custom.Both continuity and change are intertwined throughout the decade now behind us.The journey began with the first annual EPTC/TCEP conference in Halifax, May 28-30, 2003.The society became viable the very week it was born, immediately gathering into its folds a wave of wonderful scholars-many of them writing dissertations at that time, now teaching the next generation of scholars.It was clear that this society created a needed place for scholars, working both within and outside the discipline of philosophy (as well as some working outside of academia altogether), to bring the theoretical insights of continental thinkers to bear on issues as diverse as architecture, sexuality, poetry, and politics.Both EPTC/TCEP and this journal began as resolutely interdisciplinary endeavours, and have become venues not only for rigorous work, but for stylistic and methodological innovation as well.PhaenEx itself was launched in the
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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 | 0.003 | 0.015 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.006 | 0.007 |
| Insufficient payload (model declined to judge) | 0.151 | 0.073 |
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".