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Record W2047184048 · doi:10.1080/14647270701418922

The use of pornographic materials by adolescent male cancer patients when banking sperm in the UK: Legal and ethical dilemmas

2007· article· en· W2047184048 on OpenAlexaboutno aff
Marilyn Crawshaw, Adam Glaser, Allan Pacey

Bibliographic record

VenueHuman Fertility · 2007
Typearticle
Languageen
FieldMedicine
TopicReproductive Health and Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsSperm bankContext (archaeology)Quarter (Canadian coin)FertilitySpermMedicineFertility preservationFamily medicineGynecologyPublic relationsPsychologyPolitical scienceEnvironmental healthHistoryPopulation

Abstract

fetched live from OpenAlex

Increased awareness of the importance of fertility concerns to teenage cancer survivors is leading to growing numbers of male teenagers being offered sperm banking at the time of diagnosis. This is now extending to males diagnosed with other conditions where gonadotoxic agents are used in treatment. The storage of sperm in these circumstances is a challenging aspect of health care, given the complex issues and timescale involved. UK law has been enacted to protect legal minors from the potentially harmful effects of exposure to pornographic materials, yet there is reason to suppose that their use in this context could have therapeutic benefit in aiding successful masturbation. This paper uses material gained through consultation with the eleven largest UK sperm banks and 94 male teenage cancer survivors, to discuss the associated legal and ethical dilemmas, including those around the role of parents/carers. Findings suggest that there is variable practice in sperm banks, that almost a quarter of teenage males wanted access to soft porn when banking sperm, and half wanted to bring in their own materials. It concludes that there is an urgent need for any legal barriers to the therapeutic use of pornographic materials to be understood and examined.

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)0.005
metaresearch head score (Gemma)0.027
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.027
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.003
Scholarly communication0.0030.002
Open science0.0000.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.073
GPT teacher head0.337
Teacher spread0.264 · 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

Citations21
Published2007
Admission routes1
Has abstractyes

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