All in a Year’s Work: Achievements toward Entomology for All
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
ENGAGING AND SUPPORTING STUDENTS FROM UNDERREPRESENTED COMMUNITIES DURING THEIR CAREER DEVELOPMENT IS ESSENTIAL FOR INCREASING DIVERSITY WITHIN ESA. As we advance Diversity & Inclusion (D&I) efforts within ESA, we wanted to highlight some of the year’s successes and future plans to continue actively moving forward in promoting diversity, inclusion, recruitment, and retention over all. This is key to ensuring that ESA is a scientific society that cultivates excellence, tolerance, and mutual respect. The D&I committee, chaired by Hongmei Li-Byarlay, an associate professor of entomology at Central State University of Wilberforce, Ohio, was reformed to a six subcommittee structure in 2022: The committee and subcommittees meet monthly to propose resources, programs, and services that will maximize D&I support amongst ESA members. As part of this effort, the committee co-organized several sessions for this year’s ESA Joint Annual Meeting that took place in Vancouver, Canada (13-16 Nov. ): To celebrate the first-year anniversary of the Entomology for All column (Manrique et al. 2021), we wanted to highlight three programs and initiatives that reflect some of the work that the D&I committee has focused on over the last year and provide some future perspectives for more initiatives, new resources, and impactful programs aimed at promoting inclusion and diversity within the society.
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 | 0.000 | 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) | 0.001 | 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