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 global reference work is the first to identify and provide key information on over 750 leading associations and professional organizations, both national and international, which reflect the size, diversity and specializations of the financial services industry. Many of these bodies have regulatory responsibilities which impact directly on financial institutions; others have different roles such as offering accreditation to financial institutions, or providing marketing channels, training facilities, professional qualifications, discussion fora, setting of standards, information services, or other significant membership benefits. A global information resource such as Associations and Professional Organizations in Financial Services therefore has significant value for financial institutions and their professional advisors. All data has been verified by the bodies included and covers the following: - Address, phone, fax, email, website - Directors and officers/executives - Aims and activities - Chapters/sections - Membership numbers - Qualifications for membership - Qualifications & training offered - Membership fees - History (background, date of establishment, former names) - Principal publications - Events calendar (dates & locations of conferences and assemblies) A small sample of the associations covered includes: American Association of Bank Directors, American Financial Services Association, Association of Insurance Compliance Professionals, Australian Investors Association, Bond Market Association, Canadian Securities Institute, Hedge Fund Associations, International Swaps & Derivatives Association, Investment Management Association, Societe Francaise des Analystes Financiers.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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