Clam research in Nunavut: A scoping review of the literature
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
Clams are an important country food with cultural, environmental, and health significance for Inuit communities in Nunavut. We analyzed the extent, range, and nature of published research on clams in Nunavut, Canada. We used a systematic and transparent scoping review methodology by applying a search string across three databases to identify potentially relevant articles. Two independent reviewers screened the titles and abstracts (phase 1), followed by article full texts (phase 2), using inclusion and exclusion criteria. Data were extracted from 24 included articles and descriptively analyzed. We also conducted thematic analysis to identify overarching themes, ideas, and gaps. The most frequent topic of research was using clams to understand ecological histories ( n = 10/25; 40 % ), followed by the biology of clams ( n = 7/25; 28 % ), environmental indicators ( n = 6/25; 20 % ), and foodborne illnesses ( n = 2/25; 8 % ). We did not identify any articles that investigated the nutritional value of clams, food security, or Indigenous knowledges. Out of all included articles, just over one-quarter described Inuit involvement in the research ( n = 7/25; 28 % ) . Our review highlights and documents how clam research has predominantly focused on natural and environmental sciences in Nunavut. Published research that explores health and social dimensions of clams in Nunavut has so far been limited. Given that clams are not only an ecologically important species but also hold health and cultural significance for communities in Nunavut, further research to capture a diversity of topics – as well as the intersection among topics – could support food-related programming, policies, and decisions intended to foster Inuit wellbeing.
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 | 0.011 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.004 |
| 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