Frequency and characteristics of promissory conference abstracts, i.e. abstracts without results, accepted at Cochrane Colloquia 1994-2020
Bibliographic record
Abstract
BACKGROUND: The purpose of a conference abstract is to summarize the main points of a research-related report that will be presented at an academic conference. However, some conferences accept and publish abstracts without results, which is contrary to the basic idea of a conference abstract as a dissemination tool. A conference abstract without results included is called a "promissory abstract". This study aimed to analyze the frequency and characteristics of promissory conference abstracts, i.e. abstracts submitted without results, accepted at Cochrane Colloquia. METHODS: We analyzed 8297 conference abstracts accepted at 25 Cochrane Colloquia, organized in 1994-2020, which were publicly available on the website of the Cochrane Library. Two authors screened abstracts to identify promissory abstracts. We extracted characteristics of promissory abstracts. RESULTS: Among abstracts accepted for Cochrane Colloquia, 8.7% were promissory; 475 (66%) were accepted as poster presentations, 241 (34%) as oral presentations and 1 as a workshop. The median number of authors in promissory abstracts was 4 (interquartile range: 3 to 6 authors). In 245 (34%) promissory abstracts, affiliations of authors were not reported. The authors were most commonly affiliated with the following countries: UK (472; 36%), Canada (N = 123; 26%), China (N = 76; 16%), United States (N = 66; 14%) and Australia (N = 53; 11%). There were 512 (71%) promissory abstracts in which study design was not reported. CONCLUSION: Promissory abstracts were commonly accepted at Cochrane Colloquia. Such abstracts deserve further attention, as they are detrimental in terms of the dissemination of new knowledge presented at a conference. Conference organizers could ask authors to update the abstract results subsequently to enable the dissemination of information presented at a conference.
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 | 0.056 | 0.378 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.005 |
| Bibliometrics | 0.038 | 0.037 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 0.003 |
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".