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Record W6959159905 · doi:10.1005/0770431914.ch2

Man on Decades-Long Journey to Helping Others

2021· article· en· W6959159905 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicOral History, Memory, Narrative Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsActive listeningPoint (geometry)World War IIGermanQuestions and answersLuckPhone

Abstract

fetched live from OpenAlex

Tim Gibney of Woodstock, Ontario, interviewed dozens of people with uplifting stories before launching a series of seminars aimed at boosting others.\nTim Gibney has been on a mission of sorts that started 20 years ago. The Woodstock, Ontario man listened to what his daughters – Charlotte, in Grade 8 at the time, and Nicole, then a Grade 2 student – were saying about what their classmates were going through in their school studies back in 1992. “How are these young people learning with what’s going on in their lives?” he asked in a question posed in an Aug. 5 interview. There were trying times for the students he was hearing about, between home, their peers, and other people in their lives. It was from that starting point that Gibney began to seek out people with inspirational stories, who had overcome trying times in their lives. Source: Write My Paper online magazine.\n\n \n\n\n\tLifting the Spirit\n\n\nThat year, Gibney sought out the mayor of Woodstock – at that time, John Geoghegan – and asked for people in the community who had stories to tell. “If anybody knew about unique and interesting people,” he said," the mayor was a likely person to help get contacts." The first one in line was the now-late Ed Bennett, a veteran of the Second World War who lost an eye in the Allied raid on Dieppe and was then a prisoner of war.\n\nFrom there, Gibney went to other people in Woodstock and beyond, listening intently to what they had to say about their lives. These interviews went on for several years and included talks with about 40 to 50 people. They included a woman from London, Ontario who lost her vision at age eight – “that’s got to throw people for a loop,” Gibney said – but she endured her hardship well. There was also a woman who suffered a variety of abuses. That woman left an abusive relationship and, after a stint on welfare, received a national award a few years later that recognized her savvy in business. In addition, a man who suffered a debilitating illness that essentially fused his joints as it ravaged his body was on the list. The man's illness basically left him a paraplegic, but it didn’t destroy his spirit.\n\n\n\tSharing Through Seminars\n\n\nA few years ago, Gibney started giving free seminars entitled Breaking Free and Stepping Up, based largely on his interviews. The seminars looked at how people overcame their challenges and could better themselves. Gibney likened himself to a coach in the seminar presentations, which looks at people’s objectives, beliefs, their ability to trust, benefit, adapt, have pleasure, approach their problems, and endure. “It’s so that people who have had challenges can see value in their (situations),” Gibney concluded.\n\nFull version at – Write My Paper for Me.

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)0.004
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.358
Threshold uncertainty score0.712

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.007
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0420.019
Scholarly communication0.0110.009
Open science0.0020.011
Research integrity0.0040.009
Insufficient payload (model declined to judge)0.0560.026

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 head0.092
GPT teacher head0.273
Teacher spread0.181 · 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 designQualitative
Domainnot available
GenreEmpirical

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
Published2021
Admission routes1
Has abstractyes

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