The Abstracts of the 30th Conference of the Australasian Experimental Psychology Society
Bibliographic record
Abstract
The 30th Annual Australasian Experimental Psychology Conference (EPC) was hosted by MARCS Auditory Laboratories and the School of Psychology at the Bankstown campus of the University of Western Sydney. The scientific program comprised 131 papers includ ing five specialist symposia (summarised below) and a keynote address by Dr John Hogben from the University of Western Australia. Topics covered all aspects of experimental psychology including basic perceptual and learning processes, attention, individual differences, memory and language. Papers were authored by people from 26 Schools of Psychology in Australia and New Zealand, as well as by visiting colleagues from Canada, Germany and the US. Of the total, around 40% of the papers were presented by graduate students, and Joanna Kidd from the University of Western Australia and Brad ley Wolfgang from the University of Melbourne each received a 30th Experimental Psychology Conference Young Scholar Award.The first EPC was held at Monash University during June 28-30,1974. It succeeded the Canberra Symposium in Perception held over the previous 12 years. At the opening of the 2003 conference, the first 30 yea rs of EPC were celebrated in word and song by Boris Crassini in a fine tenor. Whereas the tune bore some resemblance to a popular song of yesteryear the words were entirely original. Additionally, during the 2003 conference opening, a supervisory genealogy of more than 120 experimental psychologists in Australia was pre ented. The forbea rs of current EPC members included B. F. Skinner, Karl Lashley, Sir Frederic Bartlett, Cha rles Osgood and Dalbir Bindra among many others. We welcome additions and corrections to this growing archive (see: http://sites.uws.edu.au/research/marcs/epc/photos.htm).
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 | 0.007 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.193 | 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".