THE IDENTIFICATION AND INTERPRETATION OF MICROBIAL BIOGEOMAGNETISM
Bibliographic record
Abstract
The efforts of many people, both inside and outside of Caltech, have allowed me to complete this dissertation. My advisor, Joe Kirschvink, played a particularly critical role. Over the last five years, he has been extraordinarily generous with his time, thoughts, and resources. Nearly as soon as I arrived in Pasadena in July 2002, I left to spend a month with Joe traveling through the Paleoproterozoic in South Africa and Canada. He has since taken me to explore the early Precambrian in Western Australia and the late Precambrian in South Australia and sent me to China to investigate the record of the Permo-Triassic extinction there. Such global travels have not only helped me understand many of the great geological questions of geobiology; by exposing me to different nations and different economic situations, they have played a major role in shaping my motivations for my future work. Joe has also been exemplary in the classroom in exciting students about the Earth sciences and has provided me with abundant opportunities to develop my own teaching skills. My favorite student evaluation from an Earth history class I helped Joe teach in 2006 reads, “Kopp and Kirschvink are a fascinating pair. The class is almost worth taking just to hear them banter. ” Joe is trusting, open, and in many ways selfless with respect to his students,
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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".