Sediments and Biota of the Marine Coastal Zone of Igloolik Island, Nunavut
Bibliographic record
Abstract
Few studies in arctic Canada have combined research on both the physical marine environment and benthic invertebrates. This is the first detailed study of the oceanographic conditions and distribution of sediments and biota in the intertidal and subtidal zones of Igloolik Island, Nunavut. Oceanographic measurements (temperature, salinity, dissolved oxygen, turbidity), and sediment and biological sampling were undertaken over two summers (1999, 2002). Intertidal zones are underlain by bedrock with a thin veneer of gravel with a very poorly sorted fine matrix and devoid of benthic invertebrates, due to harsh environmental conditions. Ninety-six benthic invertebrates species were identified in the subtidal zone of Turton Bay, a shallow embayment of Igloolik Island that opens to the south into Hooper Inlet. Oceanographic conditions were similar throughout Turton Bay. The shallow depth of Turton Bay (<25 m) and open fetch to the south means that the bay water is well mixed throughout during the ice-free period. Variations in species, abundances and densities result from local conditions and substrate characteristics. Subtidal areas with unconsolidated substrates have abundant and diversified benthic fauna, whereas those with consolidated substrates have more limited species dominated by epifauna. The greatest abundances and densities occur at the deepest sites with the finest sediments and deposit-feeding species. The shallow subtidal zone (<5 m) is characterized by a thin sandy surface veneer overlying bedrock. It is an extension of the intertidal zone and is much affected by ice action during break-up with reduced numbers of marine fauna. High densities of opportunistic and pollution tolerant species along transects in Turton Bay are explained by the outflow and seepage from the sewage lagoon and dumpsites proximal to these transects.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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 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".