Bibliographic record
Abstract
unbrrrntrlr|carclt-.Stnal]nlallna]srLet|ircdrrappcd.murketlaldrecaptLrredweeklr'duringJu|ylnrltj(e lI'.rdrJ.Ls r?dni! rrere conrnon ir all rhxr.hlbirrts;!!d red backetl $Ies lClcthnononrs ga1".r;){.re.onnlon nr a but the burned clearcut and rhe Iot:sr crlgc a(ljrr0t Lo th.uDltrrned clearcut.This lattr linrlirrs nrar rcllect an edge effect.'There{ere mor.ad!lr lcm!|, drr rnicc unrl a.nallcr ruftr of jurenile to adulr lfnaic {1..r di.e n) re iorest rhan in the clearcuts.This nu,lv n,gg.srsrhul thrlgr.nr'ralrl|.irrtso|clearcurtitlgol..ma1lnommt|stt..in)i!ill]!vland imporrr.ltunsi(l( rulio,, for lLrture research.tarticularlr in oL(l-siNth fofesrs.lntroduction The old grotth conilcrous ftrlests ol the Pacific NorLh$est are ecologicalll uniqlc (\\'aring and Frarrllin I979.Franklin et a1.198l )" bLrL increa-s-inE1lv 1!agmented bl forcst hanesting (Harris I9B.1i.As acccssiblc loularrd old-grol.tbstands are depleted.thcrc is increasing pressule to halvcst highr:r' clr-'ration i)rests.\umerolls studics har.c eranined the eliicts ol logging on snrall mamrnals in lotlancl, noflh$cslcrn conilerorrs iorests (Tevis 1956: Gashriiler 1970: Hoovcn I971.197ii: ill i\ lr l":Ol.r,,rt tl.pfp Jr,.l, r. ,l:rr.run irrrl,a, rin o1d-grolth and sub.r[inc hrresLs.It is irnportant to gAin both a bcttcr undcrstanding ol the ecologr of old grolth arrcl the ellects ol cutting lhcsc l'trr-csLs id Lhe more ertleme subalpinc cnlir()nrnenl.This studl $as drsjg.nc{l to cornpare small rnammdl populaL;ons an.l communities of a coaslal.suballline olcl-grotth folest and acljacrnL burned ancl unburned clealcut habitats.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".