Part 4: Living the Life: UWI, Geography: Memories - Forming Communities; Final research projects & preparing for assessments and examinations in Geography
Bibliographic record
Abstract
Creating and sustaining academic and professional communities are vital aspects of an academic life.Part 4 showcases ways in which emerging friendships and relationships with one's peers and professors, sometimes led to the development of dynamic relationships, some of which have lasted a lifetime.Contributions by Jones, Chung Aarons, Lee, and Jeffrey speak to the importance of community and identify memories of learning in an academic milieu in which a sense of belonging to a vibrant, community transcended geographic and national borders.DePass summarizes her final research project which had unanticipated positive, spin offs for her future career.Finally, Lumsden's and Floyd's archival photographs, illustrate tangible and intangible benefits of living in communities."Each friend represents a world in us, + a world not born until they arrive, and it is only by this meeting that a new world is born."(Anais Nin Quotes, Page 1, Column 2, Number 1. From Google) Part 4, concentrates on showcasing a few examples of establishing and sustaining academic and professional communities.It highlights some of the friendships and relationships which developed gradually, with our peers, professors and colleagues.The guides address, in different but at the same time, complementary ways, some of the tangible and intangible qualities of such relationships within and beyond the UWI community which often transcend space and time.Guides in this part of the book are as follows: Eleanor Jones who circulated several archival photographs, prior to the 50 th Anniversary JGS Conference, 2016 (only two are included). Adrienne Chung Aarons who reminisced about life in Seacole (then a women's hall of residence), and relates a memorable experience of studying late at night in the Geography Dept. Carol Lee who graphically illustrates the types of learning environments which some of us experienced and remembered. Fitzgerald M. Jeffry who explains the strength of community and the values of lifelong friendships.
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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.004 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.036 | 0.008 |
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".