MétaCan
Menu
Back to cohort
Record W224171702

Ag Conference Portrays Possible and Probable Futures

2000· article· en· W224171702 on OpenAlexaboutno aff
Steve Cocheo

Bibliographic record

VenueABA banking journal · 2000
Typearticle
Languageen
FieldSocial Sciences
TopicRussia and Soviet political economy
Canadian institutionsnot available
Fundersnot available
KeywordsNoticeManagementOfficerEngineeringEconomicsPolitical scienceLaw
DOInot available

Abstract

fetched live from OpenAlex

Veteran banker Ed Tubbs received ABA's annual Frank Bruning award for service to the ag lending industry during the recent ABA/Canadian Bankers Association North American Agricultural Finance Conference in October. In accepting the award, Tubbs reflected on how drastically the business has changed since his start in the late 1950s. Tubbs remarked that back when he and a handful of other farm representatives, as calling officers were then called, began actually visiting the farms of borrowers, their presence was often resented. The farmers considered them snoops who were there primarily to count the cattle. With a grin, Tubbs told of farmers who would borrow enough head from others to fill out what they had told the bank they had. One farmer even went so far as to bring in a borrowed truckload of calves, thinking that Tubbs wouldn't notice. The farm-raised banker well knew, however, that the cows the farmer was supposed to have on hand would be grown well past that tender stage. It's been fascinating watching this business evolve, said Tubbs, who has been followed by two generations of family members in his Iowa banking company. Changing rural landscape A theme of the conference, held in Winnipeg, Can., this year, was put into words by speaker Brian Hayward, chief executive officer of United Grain Growers Ltd., Winnipeg, Manitoba. Farming as a way of life, he said, is giving way to an attitude of as a business. The farmer who will survive in the future will be one who looks for increasingly sophisticated farming and financial management techniques. Often it was pointed out that simply continuing to produce generic commodities will be a losing proposition for many farmers, as larger and larger farms are put together. Larger producers will generate efficiencies of scale that smaller operations will find difficult or impossible to match, especially when commodity prices are low. It was widely held that the successful smaller farmer of the future will look for opportunities to grow crops for specific users or types of users, rather than for the general market. Often this will be according to the terms of contracts with end users, who may even provide inputs and financing to those producers who are willing to ally with their firms. One farmer who spoke at the meeting has taken this school of thought to an extreme that amazed some bankers. Bert Lowry, Neepawa, Manitoba, turned a commodity-style into a diverse mix of many types of crops. These ranged from rapeseed and wheat to such atypical crops as canary seed, coriander, caraway seeds, clover and timothy grass, and even hemp. Lowry tracked his returns versus costs in every case and found some of his experiments more successful than others. Demonstrating his findings using a detailed table, Lowry joked, as he quickly pulled the overhead from the screen, that sharing his research with so many bankers would increase the number of smarter competitors he would face when they brought his ideas back to the bankers' customers. Caraway seed produced the best profit per acre, far ahead of old favorites like spring wheat, though Lowry noted that spice markets could be very volatile. While there was some concern regarding the genetically modified organism, or GMO, issue, more typically speakers considered the current controversies over these crops in Europe and elsewhere to be a passing thing. Indeed, ag futurist Dr. David Kohl told listeners that he believes that agriculture and medicine will increasingly converge. Farmers will sometimes find success in growing nutraceuticals, plants that are genetically enhanced to produce medications or traits that make them more suitable to consumers with certain medical problems. One example he raised was crops that could be more readily used by diabetics. Lenders, Kohl said, will increasingly find themselves financing such specialized farming, moving further away from financing commodity farming. …

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.135
Threshold uncertainty score0.452

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0110.003
Scholarly communication0.0110.005
Open science0.0020.007
Research integrity0.0060.008
Insufficient payload (model declined to judge)0.1350.026

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.

Opus teacher head0.020
GPT teacher head0.280
Teacher spread0.261 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreCommentary

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".

Quick stats

Citations0
Published2000
Admission routes1
Has abstractyes

Explore more

Same venueABA banking journalSame topicRussia and Soviet political economyFrench-language works237,207