MétaCan
Menu
Back to cohort
Record W2085341265 · doi:10.1353/mis.0.0034

The Canada Story

2008· article· en· W2085341265 on OpenAlex
Alison B. Hart

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

Venue˜The œMissouri review · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Policy and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsHistory

Abstract

fetched live from OpenAlex

The Canada Story Alison B. Hart (bio) Click for larger view View full resolution Photographs from the collection of Bob Hart Click for larger view View full resolution Photographs from the collection of Bob Hart [End Page 150] Click for larger view View full resolution Photographs from the collection of Bob Hart I don’t remember ever not knowing the Canada story. Here are the essentials: my father and his friend Don left England to work on the Pacific Great Eastern Railroad, laying new track around train derailments in British Columbia. On a day off, they rowed across a lake and climbed up a waterfall to pan for gold. Don slipped and went over, and my father found him in a rocky pool at [End Page 151] the bottom, bleeding from a hole in his back. Dad held him in his arms until help came. After weeks of recuperation, when Don was better, they sailed back to England together. Many people heard the story before I did. There was the Bedfordshire girl who lived in New York City and put my dad up for a night before he boarded the QE1. There were my grandparents, who welcomed him home with a trip to Italy. There was his sister, who had married and was starting a family of her own. Soon there was my mother, of course, and my brothers, who are older than I and knew everything worth knowing before I did. The Canada story came up at holidays and parties, when the adults drank and laughed loudly and I eavesdropped at the end of a dark hallway. Most of it was too big for me to understand. The “hole in the back” business, for instance, is a piece I must have conceptualized around the age of eight or nine, before I had a proper understanding of anatomy. I love every part of the Canada story—the escape from dreary England, the call of the railroad tearing a path through a dense and scratchy wilderness, the image of my buttoned-down father prospecting for gold. It’s absurd to me now. Impossible to believe that my father could have had genuine hopes of striking it rich with a sieve and a pan, although as I grew up in California, it helped to picture the gold rush in such familiar terms My father remembers everything about that year. It was 1956, the year of the Suez Canal crisis, and he was almost nineteen. At the embassies in London, long lines of young men applied for visas to Australia, New Zealand and South Africa to escape the building conflict, but my father and his friend Don were only interested in escaping Bedfordshire. They were friends from the meteorological office, where they broadcast weather reports for the armed forces radio. They worked three shifts on rotation, and when it was their turn for the night shift, they camped out in the sound studio, talking and sleeping in turns. Don brought his dog, and a primus stove for cooking eggs and bacon. The men slept in bags on the floor; the dog slept in a wastebasket full of ticket tape. They were down on themselves. Don had rolled the family car, and his father was on him to get serious. My father had been released from his RAF contract and thought his life was over. They were two years apart; both had been local boys in a boarding school that had matriculated Gary Cooper, Sam Kidd and the executed president of Pakistan. They’d placed high in their classes but were cut from a different cloth than the residential students. After final exams, my father drove to the RAF base about thirty miles away. He’d [End Page 152] been a small boy during the war, but he remembered certain things about it with a Technicolor nostalgia: Hannah, the Dutch refugee his mother had taken in and to whom he’d had to give up his room; the American officers who used the heath as a landing field; being paid in candy bars to introduce the airmen to Hannah—later, he fed all the candy bars through a chain-link fence around the football...

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.215
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.027
GPT teacher head0.275
Teacher spread0.248 · 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