Bibliographic record
Abstract
As members of the reviewer committee for the Australian Journal of Language and Literacy we respond to an invitation to remember our colleague, Associate Professor Carolyn Baker. On behalf of the many colleagues and friends, we wish to recognise Carolyn's passing with affection and show our appreciation of the high quality of her academic work. Many who knew Carolyn Baker and her work were deeply saddened by her death on 12 July 2003. She had earlier been diagnosed with cancer. As a colleague, supervisor and friend, she was loved by those who knew her personally, and respected by those who knew her work. That work over three decades bridged many facets of education, and she will be remembered particularly for her major contributions to studies of language and literacy, and the studies of social interaction and childhood. Carolyn held a BA, MA and PhD from the University of Toronto. Her MA and PhD were undertaken in the Department of Sociology in Education at the Ontario Institute for Studies in Education. Carolyn's first appointment in Australia was at the University of New England, Armidale, in 1976. In 1991, she was appointed as an Associate Professor in the School of Education, The University of Queensland, where she worked until her death. Carolyn was an outstanding supervisor and teacher. She supervised approximately 60 higher degree students, including 25 PhD students to completion, often publishing with her students in significant refereed journals and books. With her emphasis on excellence and the formation of supportive collegial relationships with other students, she instilled in her students confidence as researchers and scholars. Carolyn's excellent work with her postgraduate students and her guiding influence in developing a higher degree research culture were recognised by The University of Queensland. For her extensive and innovative work in the provision of postgraduate research training and support, she was awarded a Faculty of Social and Behavioural Sciences Teaching Excellence Award in 1999 and a University of Queensland Award for Excellence in Research Higher Degree Supervision in 2001. Her work is very well known in the qualitative analysis of language and literacy, and social interaction. She published over 60 refereed journal articles and book chapters, and three books. Her papers appear in journals such as the Australian Journal of Language and Literacy, Harvard Educational Review, Language in Society, Human Studies, Journal of Pragmatics, Qualitative Inquiry, Narrative Inquiry, Language and Communication, the British Journal of Sociology of Education, Childhood, Contemporary Issues in Early Childhood and Early Education and Development. She also contributed to distinguished international volumes on language and literacy, adult-child communication, qualitative methodology, and sociology of childhood. Working within the qualitative methodologies of conversation analysis and ethnomethodology, she presented detailed analysis of written texts and talk-in-interaction in institutional and informal settings. …
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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 | 0.005 | 0.032 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.122 | 0.100 |
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".