Filter to Retrieve Articles Related to Indigenous Peoples of New Brunswick from the Ovid MEDLINE Database
Bibliographic record
Abstract
(exp Indians, North American/ or exp Health Services, Indigenous/ or Metis.mp. or exp Medicine, Traditional/ or exp Shamanism/ or exp Ethnopharmacology/ or Indigenous* or Aboriginal* or Amerindian* or Autochtone* or Metis or First Nations or First Nation* or (traditional adj1 (medicine* or heal* or food* or health*)) or Urban Indian* or on reserve or off reserve* or country food* or residential school* or shaman* or medicine m?n or medicine wom?n or ((native* or Indian or Indians) adj2 (person or persons or man or woman or men or women or child* or youth or youths or population* or people* or band or bands)) or Montagnais or Maliseet or Naskapi* or Mi'kmaq or Micmac or Mic mac or Migmaw or Mig maw or Beothuk*) AND (((Fredrickton or Moncton or New Jersey) and (exp Canada/ or Canad*)) OR exp New Brunswick/ or New Brunswick* or Nouveau Brunswick or Big Hole Tract or Metepenagiag or Eel Ground First Nation or Buctouche or Esgenoopetitj or Burnt Church or Devon Reserve or St Mary's First Nation or Eel River Reserve or Eel River Bar or Fort Folly Indian Point Reserve or Indian Island First Nation or Indian Ranch Reserve or Kingsclear or St John River Valley Tribal Council or Oromocto or Pabineau or Pokemouche or Mawiw or (Red Bank adj2 Reserve) or Richibucto or St Basile or Madawaska or Soegao or Tabusintac or Tobique or Wolastoqiyik or Woodstock First Nation)
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 | 0.004 | 0.034 |
| Meta-epidemiology (narrow) | 0.004 | 0.001 |
| Meta-epidemiology (broad) | 0.009 | 0.005 |
| Bibliometrics | 0.046 | 0.041 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.165 | 0.035 |
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".