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Record W7033879815

Smith, Carolyn & Jack

2015· article· en· W7033879815 on OpenAlexaboutno aff

Bibliographic record

VenueDigitalResearch@Fordham (Fordham University) · 2015
Typearticle
Languageen
FieldEnvironmental Science
TopicMarine Ecology and Invasive Species
Canadian institutionsnot available
Fundersnot available
KeywordsTheme (computing)Metropolitan areaPublic housingSense of communityQuarter (Canadian coin)
DOInot available

Abstract

fetched live from OpenAlex

Carolyn Smith was born in Metropolitan Hospital and lived in Harlem until around the age of 6 when she moved to the Melrose Housing Development in the early 1940’s. Her mother and a community of friends she grew up with in Hell’s Kitchen would all move around together. They moved around in Harlem a few times before settling in at Melrose. Carolyn discusses a common theme among those who grew up in this time of a sense of community where people in the neighborhood would watch others children. When they moved to Melrose it was a new housing project and very well taken care of with beautiful gardens designed by a Japanese gardener. The community was kept up very well while she was growing up there. Later she compares this to her move into the Patterson Houses in 1956 where she could get a sense that the housing standards were being lowered. She discussed the requirements to get into public housing at the time and says in Patterson she could see these were not always being met. She did not feel as safe raising her children there as she had felt growing up at Melrose. Many families were moving out and not staying around very long.\nAcademics were very much stressed in Carolyn’s home growing up, and she stressed academics for her two sons as well. Jack was born in 1955, right before the move from Brooklyn to Patterson Houses and recalls growing up in a single parent home after the age of 5 when Carolyn and her husband split. There was an understanding in their family that there were only 3 of them and if they didn’t get themselves together and get out, they wouldn’t get out. Because of this survivalist approach, Jack took schooling very seriously and attended school on scholarship. One of these scholarships was from people whose children had been killed in Mississippi in the Civil Rights Movement. From high school, Jack went on to study at Harvard. Growing up in the 60’s there was a political awareness that allowed young people to get into books, academics, and politics and not be considered an outcast.\nBoth Carolyn and Jack were very involved in political activism during the 60’s as well. Carolyn saw Malcolm X speak in Harlem and was involved in picketing and demonstrations. She also was elected to the Tenant Organization of Patterson in the 50’s, which fought against the deterioration of support and maintenance of the project. Jack attended Harvard in the early 70’s and was in Cambridge during the bussing problems occurring in Boston at the time. He says this was the first time he felt physically in danger. Even growing up in the projects and deteriorating conditions, he had never experienced such racism and white on black violence. Both Carolyn and Jack also discuss other aspects of growing up in the Bronx and their various experiences in school and life in general, including the influence of gangs and drugs in the projects.

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)0.001
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: Other · Consensus signal: none
Teacher disagreement score0.048
Threshold uncertainty score0.162

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.002
Scholarly communication0.0030.003
Open science0.0010.003
Research integrity0.0020.006
Insufficient payload (model declined to judge)0.0480.015

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 head0.060
GPT teacher head0.230
Teacher spread0.171 · 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
GenreOther

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
Published2015
Admission routes1
Has abstractyes

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