Bibliographic record
Abstract
Dr. Sharon G. Lawrence passed away suddenly on the 20th of February, 2015 in her home in Winnipeg, Manitoba, Canada at the age of 78. She was born in San Diego, California on the14th of August, 1936. She is greatly missed by her sons, David and Paul, granddaughters, Emily and Eowyn, and daughters-in-law, Tracy and Alicia, who reside in Winnipeg. Her sisters, Holly and Linda, nieces and nephews, other relatives in the United States and friends also mourn her passing. Sharon was a loving and generous person and a faithful and dependable friend. She is mourned as well by former colleagues, with whom she worked for up to 25 years.Sharon grew up in San Diego, and was an extraordinary student in the Catholic school that she attended. She was offered full scholarships at the University of San Diego, where she was a resident student at the Catholic Women's College. She majored in Biology and Chemistry, graduated with the highest grade in her class and was valedictorian. Earning a fellowship at Stanford, she completed a PhD degree, following which her goal was to engage in freshwater research. During these years Sharon met John Lawrence, her future husband.Sharon immigrated to Canada, where the opportunities for employment in freshwater research were greater. She worked for three years at Trent University in Peterborough, Ontario, married John Lawrence and they had twin sons, David and Paul.The scientific highlights of Dr. Lawrence's career in Canada began in 1972 when she joined the federal government's Department of Fisheries and Oceans, as a Research Scientist in Winnipeg, Manitoba near the initiation of the world-class Experimental Lakes Area (ELA) in northwestern Ontario. She led one of the first ELA projects, culminating in a special publication, Manual for the Culture of Selected Freshwater Vertebrates in 1981. This publication focussed on methods of culturing a wide variety of freshwater microbes, phytoplankton, and zooplankton to provide organisms for the testing of responses to polluting environmental conditions. Dr. Lawrence's further work involved long-term studies of chemical and biological stresses on phytoplankton and zooplankton species in seven whole-lake ecosystems. In 1997, she chose early retirement. Following this, Dr. Lawrence served for 6 years as a technical editor of the journal, Aquatic Ecosystem Health and Management. During her career, she mentored several future young women scientists.Sharon was as widely skilled and dedicated to society as she was to science. She was a talented painter of water colour art and generously supported a local food services business. Dr. Lawrence is deeply mourned and her scientific and personal legacies are greatly valued.
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 | 0.001 | 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 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.027 |
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".