Trend 1982 - 1994. Food and Agriculture Organization of the United Nations. Food and Agriculture Organization Statistics: Inputs - Fertilizers [Archive] | Country: Canada | Item: Oth Complex Fert (P2o5) | Element: Production - tonnes, 1982-1994. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 067-001-019.
Bibliographic record
Abstract
Food and Agriculture Organization of the United Nations (2017). Food and Agriculture Organization Statistics: Inputs - Fertilizers [Archive] | Country: Canada | Item: Oth Complex Fert (P2o5) | Element: Production - tonnes, 1982-1994. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. [Data-file]. Dataset-ID: 067-001-019. Dataset: Presents summary totals of production, import, export, consumption, and price paid by farmers for the three types of fertilizers: nitrogen (N), phosphate (P205), potash (K20), and including complex fertilizers (NP, PK, NK and NPK). Consumption refers to actual deliveries to agriculture by the manufacturers or actual quantity consumed by a country for agriculture production. Non-fertilizer use is assumed to be zero (in the absence of data). The dataset includes data covering 1961-2002. The dataset is not comparable with the Fertilizers dataset covering the period 2002 onwards because of changes in methodology used in preparing data from 2002, including: a change in the underlying fertilizer data methodology; the move to the use of calendar rather than a mixture of calendar and fertilizer year; revised classification of the fertilizer items; the addition of the non-fertilizer use parameter in the fertilizer balance and the use of new data sources for some data. The time-series and cross-sectional data provided here are from the FAOSTAT database of the Food and Agriculture Organization of the United Nations. Statistics include measures related to the food supply; forestry; agricultural production, prices, and investment; and trade and use of resources, such as fertilizers, land, and pesticides. As available, data are provided for approximately 245 countries and 35 regional areas from 1961 through the present. The data are typically supplied by governments to FAO Statistics through national publications and FAO questionnaires. Official data have sometimes been supplemented with data from unofficial sources and from other national or international agencies or organizations. In particular, for the European Union member countries, with the exception of Spain, data obtained from EUROSTAT have been used. Category: Agriculture and Food, International Relations and Trade Source: Food and Agriculture Organization of the United Nations Established in 1945 as a specialized agency of the United Nations, the Food and Agricultural Organization’s mandate is to raise levels of nutrition, improve agricultural productivity, better the lives of rural populations, and contribute to the growth of the world economy. Staff experts in seven FAO departments serve as a knowledge network to collect, analyze, and disseminate data, sharing policy expertise with member countries and implementing projects and programs throughout the world aimed at achieving rural development and hunger alleviation goals. The Statistics Division of the Food and Agricultural Organization collates and disseminates food and agricultural statistics globally. http://www.fao.org/ Subject: Agricultural Production, Agriculture, Agricultural Products, Fertilizers
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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 teacher head, 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".