What qualities are rare in examiners reports?
Bibliographic record
Abstract
For research students in Australia and other nations the PhD thesis is the pinnacle of higher degree endeavour. Unlike most other nations, however, the written report on the thesis is the only assessment that most Australian candidates are likely to receive. In the USA coursework provides a substantial component of assessment, while in the UK the viva voce is required. Although doctoral coursework is gaining ground in Australia, thesis examination remains the dominant form of assessment. Moreover the likelihood of moving to a viva is slim, especially as serious concerns about the credibility of the oral examination are emerging. In Australia research student enrolments numbered 37,175 in 1999 and total completions for the previous year was 5,109. This means that between 10,000 and 15,000 examiners reports are required annually. Despite the importance, scope and intensity of the process the topic of thesis examination has rarely attracted research interest. However, in a climate of quality assurance and high research competitiveness this already changing, as evident in the increasing number of studies emerging from the UK. The examiners' written reports on research theses are idiosyncratic and individualistic documents, despite efforts to standardise or structure them. All manner of reasons can be advanced for the characteristics of the written report ranging from the unusual nature of the assessment task itself, through to the lack of funds devoted to its execution. However, of particular interest in regard to exploring the quality of both academic outcomes and examination process is what examiners regard as important enough to include in the report, how they communicate this information and what both the content and the sub-text reveals about their expectations. This paper concentrates on what topics and qualities of comment are unusual or relatively sparse in examiners' reports on PhD theses. The findings are based on the core content analysis of 303 examiners reports on 101 candidates at one NSW university with a strong research profile.
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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 | 0.099 | 0.564 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.008 | 0.009 |
| Science and technology studies | 0.003 | 0.009 |
| Scholarly communication | 0.011 | 0.012 |
| Open science | 0.003 | 0.008 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 0.004 |
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".