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
The increasing use of planned events by cities, regions and countries worldwide to achieve their policy goals and obtain economic, tourism, place-marketing, or broader community benefits has led to the creation of city-wide programmes staging a series of recurring events all year round. The strategic intent of host communities and destinations to manage a calendar of events engenders the development of event portfolios. For example, the cities of Edinburgh (City of Edinburgh Council, 2007), Gold Coast (City of Cold Coast, 2011) and Auckland (ATEED, 2018) have developed, their own strategic portfolios by assembling and coordinating a balanced number of periodic events of different type and scale. Portfolio strategies have also been employed on national level, for example, in Wales (Welsh Government, 2010), Scotland (Visit Scotland, 2015) and New Zealand (Cabinet Office Wellington, 2004). The endeavour of places to develop event portfolios lies upon the alignment of their event strategies with their policy agendas. In so doing, the underlying rationale is to create a diversified portfolio of events that take place at different times of the year and that appeal to audiences across the span of consumer profiles which a host destination seeks to target (Chalip, 2004; Getz, 2013; Ziakas, 2014). From this standpoint, multiple purposes can be achieved by leveraging the event portfolio and fostering synergies among different events and their stakeholders in order to optimise the overall portfolio benefits and value.
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.
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 | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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