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Record W7038099704

HCB2043 HBB2043 HAB2043 CORPORATE COMMUNICATION

2012· other· en· W7038099704 on OpenAlexaboutno aff

Bibliographic record

VenueHRB National Drugs Library (Health Research Board) · 2012
Typeother
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCell Image Analysis Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsPopulationFeature (linguistics)Sequence (biology)Interpretation (philosophy)
DOInot available

Abstract

fetched live from OpenAlex

IN THE SPRING OF 1992, I was approached to do an interview on my radio program.At the time, I was a volunteer news programmer with CKLN-FM, a progressive, communitybased radio station in Toronto, where I was known for my interest in prisoners' rights issues.The interview was about a new organization called "PASAN", which had just released a document called HIV/AIDS in Prison Systems: A Comprehensive Strategy.Via telephone, I interviewed a woman named Julia Barnett, who was one of the founders of PASAN and a co-author of the document.I did not know it then, but that ten-minute interview would change my life forever, and would culminate in the manual that you now hold in your hands.Who would have guessed that that short interview would start a chain of events that would determine the direction of my work for the next decade?HIV/AIDS in Prison Systems: A Comprehensive Strategy, or the "PASAN Brief ", as we call it, was the first document of its kind in Canada.Written by a coalition of AIDS activists and organizations, prisoners' rights groups, ex-prisoners, and people living with HIV/AIDS, the brief outlined a series of 40 recommendations to establish a comprehensive and compassionate response to HIV/AIDS in the Canadian prison system.It is a visionary work.When it was released in June 1992, it helped push the federal government to empanel the Expert Committee on AIDS and Prisons (ECAP) to study the issues.When ECAP's final report was published in March 1994, it drew heavily on the PASAN Brief.The PASAN Brief is in fact the single most cited source in the ECAP Report, referenced on over fifty separate occasions.Although not as widely recognized today as are some later publications, the PASAN Brief still serves as the foundation of all subsequent documents on HIV and prison issues published in Canada -not a bad accomplishment for a small group working without government funding.What are my thoughts in reviewing the PASAN Brief ten years later?x PROS & CONS That such an innovative, comprehensive, and prescient document could be produced by a volunteer coalition of dedicated people is a testament to the strength and vibrancy of the community-based AIDS movement in this country. CHAPTER ONE"Pros" and " C ons" THE PHONE RINGS.You answer.You hear a computerized voice."This is Bell Canada.You have a collect call from…."followed by a short snippet of a name.It's a name you don't know.The person on the other end of the line is calling from prison, and is a person living with HIV/AIDS (PHA). 1 This prisoner needs your support.If you've never worked with people living with HIV/AIDS who are incarcerated, you probably want to help, but don't know where to begin.You may have no idea how the prison system works, or may not be aware of what healthcare rights prisoners have.For those of you with no experience in prison work, this manual will give you enough background information, service/program ideas, and strategies to allow you to get the work done.If you already work with prisoners, this manual may reinforce some of your own conclusions, but it should also give you some new ideas to incorporate into your work.It provides detailed information and strategies to enable you to better defend the rights of prisoners, and further expand the availability and accessibility of HIV/AIDS services.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.930
Threshold uncertainty score0.100

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.000
Scholarly communication0.0030.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.9300.826

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 head0.080
GPT teacher head0.385
Teacher spread0.305 · 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.

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
Published2012
Admission routes1
Has abstractyes

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