Cobalt souvenir and cook book : a collection of choice tested recipes contributed and compiled by the ladies of the Presbyterian Church, Cobalt, Ontario.
Bibliographic record
Abstract
Break three stalks celery into inch pieces and pound in ja mortar.Cook twenty minutes in a double boiler with three cups of milk and a slice of onion.Melt three table- spoons butter and cook in it three tablespoons flour.Gradu- ally add one cup of cream and when boiling stir into the celery mixture.Strain and season, then serve immediately.-Mrs. S. H. Logan. OYSTER SOUP.One pint oysters, one quart milk, one tablespoon butter, two rolled crackers, season with pepper and salt to taste.Bring all to the boiling point except the oysters.Add oysters, let come to boiling point as quickly as possible, and serve at once.-Mrs.Byrnes.BAKED SALMON.One can salmon, two small onions, four soda biscuits.Place alternate layers of salmon, onions, rolled biscuits and butter in dish until amount required is used.Season with pepper and salt and bake in oven.-A.K. McArthur. SALMON LOAF.One can salmon (remove bones and oil), two eggs, two tablespoons milk, salt and pepper, four sifted soda bis- cuits, a small piece of butter.Make into a loaf and roll in two rolled biscuits.Bake half an hour.To be eaten cold, sliced thin. BAKED WHITEPISH.Clean and wash fish, wipe dry and rub inside with salt.Make a dressing as for chicken and stuff the fish, sew up and put in roasting pan with some hot water.Be sure to have the fish a nice brown when done.Allow about fif- teen minutes to a pound.-Mrs.Mortin. OYSTER COCKTAIL.Two dozen oysters, one tablespoon horseradish, one table- spoon vinegar or juice of two lemons, one tablespoon Wor- cester sauce, one tablespoon tomato catsup, half teaspoon tobasco sauce, half teaspoon salt.Chill oysters and sauce.8 Allow three or four oysters to one or two tablespoons of sauce for each.Serve in glasses.SALMON A LA NEWBURG.One can of salmon boned, cream, one tablespoon butter, and one tablespoon flour.Add one cup of milk and.salmon.While heating add one beaten egg.Flavor with sherry or lemon.Serve with toast.-Mrs.S. H. Logan. COD FISH BALLS.One cup shredded codfish, one teaspoon butter, two cups well mashed potatoes, one egg well beaten.Save a tea- spoonful of the egg, to which add a little water, then roll each ball in egg before rolling in flour.Fry nice brown-Mrs.S. H. Logan.LEMON FISH SAUCE.Rub half-ounce butter to a cream, add yolks of two eggs and beat well, stir in juice of half lemon and salt and pep- per.When ready to serve, add half cup boiling water.Cook until thick custard.-A.K. McArthur.VEAL CUTLETS.Cut in nice pieces, season, dip in egg, throw in cracker crumbs.Have a lump of butter and lard mixed hot in pan.Put in meat and cook slowly.When nicely browned on both sides serve with rich brown gravy.-Mrs.H. Wallace. BEEF LOAF.Three pounds beef chopped fine, three eggs, two cups of bread crumbs, one cup sweet milk, one or one and one-half cups suet or butter, pepper, salt and sage to taste.Bake till leaves the pan.-Mrs.J.Howard Campbell. BEEF LOAF.Three pounds of chopped or minced beef, six soda crack- ers rolled fine, salt and pepper to taste, mix thoroughly, add one beaten egg, one cup hot water, butter size of an egg melted in hot water.Shape in loaf and bake one hour.-Mrs.J. Ralph Gordon.9 The Cobalt Daily Nugget Cobalt, Ontario Send for a sample copy of our
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.173 | 0.042 |
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".