Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This paper investigates most important implied volatility indices of Eurozone, Asia-Pacifi c, Africa, Canada and USA on the event of Brexit election of UK. Since the international economic events signal new information to market participants, the Brexit event has gauged in the 12 global markets’ volatility indices such as VFTSE, VIX, VDAX, VSMI, VSTOXX, VXJ, VHSI, VKOSPI, NVIX, VASX, VXIC and SAVI. A high fear of index about 20-36% has been noticed on the day of Brexit decision. Abnormal returns and cumulative abnormal returns on volatility index are found to be positive, while majority of global equity markets have reported negative stock returns on this event. To investigate the ‘fear-and-greed’ of investors on this historical event, a window of 11 -day has been considered. The findings suggest that investors’ degree of over-reaction on Brexit decision was very disappointing and fueled concerns on the future investment and portfolio choices. The key volatility indices were on the rise prior to the decision, while the market noticed astray and breached its normal range on the day of Brexit referendum. The findings suggest that market participants have diverted their funds into other safer investment outlets due to Brexit effects.
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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 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 it