Bibliographic record
Abstract
In April 2012, the IPA Council voted to establish a new support mechanism for student members of the IPA: the IPA Student Awards. Student members who will present their research at international conferences, symposia and workshops which are (co-)sponsored by the IPA may apply for these awards. Unemployed members, members under age 35, or members from low-income-level countries may also apply. IPA Student Awards are separate from the IPA's Gösta Bruce Scholarships, which are dedicated to supporting student travel to International Congresses of Phonetic Sciences. The number and amount of IPA Student Awards will be decided separately for each conference, and will depend on such factors as the funds available at the time, the number of students attending the conference, and the costs to students of attending. Selection of recipients will be made by the IPA Executive Council.
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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 | 0.025 | 0.042 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.008 | 0.003 |
| Science and technology studies | 0.009 | 0.002 |
| Scholarly communication | 0.016 | 0.004 |
| Open science | 0.004 | 0.015 |
| Research integrity | 0.006 | 0.013 |
| Insufficient payload (model declined to judge) | 0.068 | 0.056 |
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".