SPECIAL ISSUE HONORING THE MEMORY OF PROFESSOR JOHN H. WRENN - AN INTRODUCTION
Bibliographic record
Abstract
This special issue of Palynology honors the memory of John H. Wrenn. Each contributed paper has been written by at least one author who regarded John as a colleague or friend. It is singularly fitting that AASP–The Palynological Society’s own journal should publish this collection of papers, as John was deeply committed to the American Association of Stratigraphic Palynologists (AASP, the previous name of our society) for much of his professional life. John’s involvement with AASP began in 1986 when he organized and chaired the First Symposium on Neogene Dinoflagellate Cyst Biostratigraphy during AASP’s 20th Annual Meeting in New York City. This was an inspired initiative as it launched the study of Neogene dinoflagellate cysts into the mainstream of palynological research. The accompanying proceedings (Wrenn et al., 1986), which were made available at the meeting, revealed a hitherto unappreciated level of taxonomic diversity for this time interval. During this same year, John took over the editorship of the AASP Newsletter (1986–1988), and in doing so began a life-long commitment to editing that included Palynos (the newsletter of the International Federation of Palynological Societies) from 1992 to 1996, and several books (Head and Wrenn, 1992a; Bryant and Wrenn, 1998; Wrenn et al., 1999) and conference proceedings. In addition to serving on numerous AASP committees, he was its President from 1991 to 1992, and in 1993 was appointed as the inaugural Director of the AASP Center of Excellence in Palynology which had been established at Louisiana State University (LSU) in Baton Rouge. It was testimony to John’s modesty that he soon had the name changed to Center for Excellence in Palynology, believing that the original name was presumptuous. His many contributions to this association were recognized in 1998, when AASP’s Distinguished Service Award was conferred upon him. John’s research interests …
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 | 0.008 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.005 | 0.006 |
| Insufficient payload (model declined to judge) | 0.096 | 0.059 |
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".